diff --git a/.obsidian/plugins/copilot/data.json b/.obsidian/plugins/copilot/data.json
index 2404752..07fdde0 100644
--- a/.obsidian/plugins/copilot/data.json
+++ b/.obsidian/plugins/copilot/data.json
@@ -299,7 +299,7 @@
},
{
"name": "Translate to Chinese",
- "prompt": "Translate the text below into Chinese:\n 1. Preserve the meaning and tone\n 2. Maintain appropriate cultural context\n 3. Keep formatting and structure\n 4. In line math formular use LaTex.\n \n\n{copilot-selection}\n\n1. Blade翻译为叶片,flapwise翻译为挥舞,edgewise翻译为摆振,pitch angle翻译成变桨角度,twist angle翻译为扭角,rotor翻译为风轮,turbine、wind turbine翻译为机组、风电机组,span翻译为展向,deflection翻译为变形,mode翻译为模态,normal mode翻译为简正模态,jacket 翻译为导管架,superelement翻译为超单元,shaft翻译为主轴,azimuth、azimuth angle翻译为方位角,neutral axes 翻译为中性轴\n2. Return only the translated text.\n",
+ "prompt": "Translate the text below into Chinese:\n 1. Preserve the meaning and tone\n 2. Maintain appropriate cultural context\n 3. Keep formatting and structure\n 4. **$ $ 符号包裹的内容保持与原文内容一致**\n \n\n{copilot-selection}\n\n1. Blade翻译为叶片,flapwise翻译为挥舞,edgewise翻译为摆振,pitch angle翻译成变桨角度,twist angle翻译为扭角,rotor翻译为风轮,turbine、wind turbine翻译为机组、风电机组,span翻译为展向,deflection翻译为变形,mode翻译为模态,normal mode翻译为简正模态,jacket 翻译为导管架,superelement翻译为超单元,shaft翻译为主轴,azimuth、azimuth angle翻译为方位角,neutral axes 翻译为中性轴\n2. Return only the translated text.\n",
"showInContextMenu": true,
"modelKey": "ministral-3:14b|ollama"
},
diff --git a/书籍/力学书籍/力学/Dynamics of Structures (Ray Clough, Joseph Penzien) (Z-Library)/auto/Chap 12 ANALYSIS OF DYNAMIC RESPONSE USING SUPERPOSITION.md b/书籍/力学书籍/力学/Dynamics of Structures (Ray Clough, Joseph Penzien) (Z-Library)/auto/Chap 12 ANALYSIS OF DYNAMIC RESPONSE USING SUPERPOSITION.md
index cce0bbe..3005978 100644
--- a/书籍/力学书籍/力学/Dynamics of Structures (Ray Clough, Joseph Penzien) (Z-Library)/auto/Chap 12 ANALYSIS OF DYNAMIC RESPONSE USING SUPERPOSITION.md
+++ b/书籍/力学书籍/力学/Dynamics of Structures (Ray Clough, Joseph Penzien) (Z-Library)/auto/Chap 12 ANALYSIS OF DYNAMIC RESPONSE USING SUPERPOSITION.md
@@ -11,49 +11,49 @@ FIGURE 12-1 Representing deflections as sum of modal components.
Consider, for example, the cantilever column shown in Fig. 12-1, for which the deflected shape is expressed in terms of translational displacements at three levels. Any displacement vector $\mathbf{v}$ (static or dynamic) for this structure can be developed by superposing suitable amplitudes of the normal modes as shown. For any modal component ${\bf v}_{n}$ , the displacements are given by the product of the mode-shape vector $\phi_{n}$ and the modal amplitude $Y_{n}$ ; thus
以图 12-1 所示的悬臂柱为例,其变形形状可通过三个高度处的平移位移来描述。该结构的任意位移向量 **v**(静态或动态)均可通过叠加适当振幅的简正模态来表示。对于任一模态分量 **vₙ**,其位移由模态形状向量 **φₙ** 与模态振幅 **Yₙ** 的乘积给出,即:
$$
-\mathbf{v}_{n}=\phi_{n}\ Y_{n}
+\mathbf{v}_{n}=\phi_{n}\ Y_{n} \tag{12-1}
$$
The total displacement vector $\mathbf{v}$ is then obtained by summing the modal vectors as expressed by
总位移向量 **v** 则通过对各模态向量求和得到,具体表达式为:
$$
-\mathbf{v}=\phi_{1}\,Y_{1}+\phi_{2}\,Y_{2}+\cdot\cdot\cdot+\phi_{N}\,Y_{N}=\sum_{n=1}^{N}\phi_{n}\,Y_{n}
+\mathbf{v}=\phi_{1}\,Y_{1}+\phi_{2}\,Y_{2}+\cdot\cdot\cdot+\phi_{N}\,Y_{N}=\sum_{n=1}^{N}\phi_{n}\,Y_{n}\tag{12-2}
$$
or, in matrix notation,
$$
-\mathbf{v}=\Phi\,Y
+\mathbf{v}=\Phi\,Y\tag{12-3}
$$
In this equation, it is apparent that the $N\times N$ mode-shape matrix $\Phi$ serves to transform the generalized coordinate vector $Y$ to the geometric coordinate vector $\mathbf{v}$ . The generalized components in vector $Y$ are called the normal coordinates of the structure.
Because the mode-shape matrix consists of $N$ independent modal vectors, $\pmb{\Phi}\,=\,\left[\pmb{\phi}_{1}\,\,\,\,\pmb{\phi}_{2}\,\,\,\,\cdot\,\cdot\,\,\,\pmb{\phi}_{N}\right]$ , it is nonsingular and can be inverted. Thus, it is always possible to solve Eq. (12-3) directly for the normal-coordinate amplitudes in $Y$ which are associated with any given displacement vector $\mathbf{v}$ . In doing so, however, it is unnecessary to solve a set of simultaneous equations, due to the orthogonality property of the mode shapes. To evaluate any arbitrary normal coordinate, $Y_{n}$ for example, premultiply Eq. (12-2) by $\phi_{n}^{T}\,\mathbf{m}$ to obtain
-在此方程中,显然大小为 $N \times N$ 的模态形状矩阵 $\Phi$ 用于将广义坐标向量 \( Y \) 转换为几何坐标向量$\mathbf{v}$。向量$Y$中的广义分量被称为结构的**正则坐标**(或**法向坐标**)。
+在此方程中,显然大小为 $N \times N$ 的模态形状矩阵 $\Phi$ 用于将广义坐标向量 $Y$ 转换为几何坐标向量$\mathbf{v}$。向量$Y$中的广义分量被称为结构的**正则坐标**(或**法向坐标**)。
-由于模态形状矩阵由 \( N \) 个独立的模态向量组成,即
-$\pmb{\Phi} = \left[\pmb{\phi}_{1}\,\,\,\,\pmb{\phi}_{2}\,\,\,\,\cdot\,\cdot\,\,\,\pmb{\phi}_{N}\right]$,该矩阵是非奇异的,因此可以求逆。因此,对于任意给定的位移向量 \(\mathbf{v}\),总是可以直接求解方程(12-3),得到与之对应的正则坐标幅值 \( Y \)。不过,由于模态形状具有**正交性**,无需解联立方程组。为了求取任意正则坐标(例如 \( Y_n \)),可将方程(12-2)左乘以 \(\phi_n^T \mathbf{m}\),得到:
+由于模态形状矩阵由 $N$ 个独立的模态向量组成,即
+$\pmb{\Phi} = \left[\pmb{\phi}_{1}\,\,\,\,\pmb{\phi}_{2}\,\,\,\,\cdot\,\cdot\,\,\,\pmb{\phi}_{N}\right]$,该矩阵是非奇异的,因此可以求逆。因此,对于任意给定的位移向量 $\mathbf{v}$,总是可以直接求解方程(12-3),得到与之对应的正则坐标幅值 $Y$。不过,由于模态形状具有**正交性**,无需解联立方程组。为了求取任意正则坐标(例如 $Y_n$),可将方程(12-2)左乘以 $\phi_n^T \mathbf{m}$,得到:
$$
-\phi_{n}^{T}\,\mathbf{m}\,\mathbf{v}=\phi_{n}^{T}\,\mathbf{m}\,\phi_{1}\,Y_{1}+\phi_{n}^{T}\,\mathbf{m}\,\phi_{2}\,Y_{2}+\hdots+\phi_{n}^{T}\,\mathbf{m}\,\phi_{N}\,Y_{N}
+\phi_{n}^{T}\,\mathbf{m}\,\mathbf{v}=\phi_{n}^{T}\,\mathbf{m}\,\phi_{1}\,Y_{1}+\phi_{n}^{T}\,\mathbf{m}\,\phi_{2}\,Y_{2}+\dots+\phi_{n}^{T}\,\mathbf{m}\,\phi_{N}\,Y_{N}\tag{12-4}
$$
Because of the orthogonality property with respect to mass, i.e., $\phi_{n}^{T}\,\mathbf{m}\,\phi_{m}\,=\,0$ for $m\neq n$ , all terms on the right hand side of this equation vanish, except for the term containing $\phi_{n}^{T}\,\mathbf{m}\,\phi_{n}$ , leaving
-由于质量矩阵的正交性,即对于 \( m \neq n \),有 \( \phi_{n}^{T}\,\mathbf{m}\,\phi_{m} = 0 \),方程右侧的所有项均消失,仅剩下包含 \( \phi_{n}^{T}\,\mathbf{m}\,\phi_{n} \) 的项。
+由于质量矩阵的正交性,即对于 $m \neq n$,有 $\phi_{n}^{T}\,\mathbf{m}\,\phi_{m} = 0$,方程右侧的所有项均消失,仅剩下包含 $\phi_{n}^{T}\,\mathbf{m}\,\phi_{n}$ 的项。
$$
-\phi_{n}^{T}\,\mathbf{m}\,\mathbf{v}=\phi_{n}^{T}\,\mathbf{m}\,\phi_{n}\,Y_{n}
+\phi_{n}^{T}\,\mathbf{m}\,\mathbf{v}=\phi_{n}^{T}\,\mathbf{m}\,\phi_{n}\,Y_{n}\tag{12-5}
$$
from which
$$
-Y_{n}=\frac{\phi_{n}^{T}\,\mathbf{m}\,\mathbf{v}}{\phi_{n}^{T}\,\mathbf{m}\,\phi_{n}}\qquad\qquad n=1,2,\cdots,N
+Y_{n}=\frac{\phi_{n}^{T}\,\mathbf{m}\,\mathbf{v}}{\phi_{n}^{T}\,\mathbf{m}\,\phi_{n}}\qquad\qquad n=1,2,\cdots,N\tag{12-6}
$$
If vector $\mathbf{v}$ is time dependent, the $Y_{n}$ coordinates will also be time dependent; in this case, taking the time derivative of Eq. (12-6) yields
如果向量 $\mathbf{v}$ 随时间变化,则其 $Y_{n}$ 坐标也将随时间变化;此时,对式(12-6)取时间导数,可得
$$
-\dot{Y}_{n}(t)=\frac{\phi_{n}^{T}\,\mathbf{m}\,\dot{\mathbf{v}}(t)}{\phi_{n}^{T}\,\mathbf{m}\,\phi_{n}}
+\dot{Y}_{n}(t)=\frac{\phi_{n}^{T}\,\mathbf{m}\,\dot{\mathbf{v}}(t)}{\phi_{n}^{T}\,\mathbf{m}\,\phi_{n}}\tag{12-7}
$$
Note that the above procedure is equivalent to that used to evaluate the coefficients in the Fourier series given by Eqs. (4-3).
@@ -64,38 +64,38 @@ The orthogonality properties of the normal modes will now be used to simplify th
现在将利用简正模态的正交性质来简化多自由度(MDOF)系统的运动方程。这些方程的一般形式由式(9-13)给出(或在轴向力存在时等效的式(9-19));对于无阻尼系统,方程则简化为:
$$
-\mathbf{m}\;\ddot{\mathbf{v}}(t)+\mathbf{k}\;\mathbf{v}(t)=\mathbf{p}(t)
+\mathbf{m}\;\ddot{\mathbf{v}}(t)+\mathbf{k}\;\mathbf{v}(t)=\mathbf{p}(t)\tag{12-8}
$$
Introducing Eq. (12-3) and its second time derivative $\ddot{\mathbf{v}}=\Phi\ \ddot{\mathbf{Y}}$ (noting that the mode shapes do not change with time) leads to
将方程(12-3)及其二阶时间导数 $\ddot{\mathbf{v}}=\Phi\ \ddot{\mathbf{Y}}$(注意模态形状不随时间变化)代入后,得到
$$
-\mathbf{m}\oplus{\ddot{Y}}(t)+\mathbf{k}\;\Phi\;Y(t)=\mathbf{p}(t)
+\mathbf{m}\Phi{\ddot{Y}}(t)+\mathbf{k}\;\Phi\;Y(t)=\mathbf{p}(t)\tag{12-9}
$$
If Eq. (12-9) is premultiplied by the transpose of the $n$ th mode-shape vector $\phi_{n}^{T}$ , it becomes
如果将方程(12-9)左乘第 $n$ 阶模态形状向量的转置 $\phi_{n}^{T}$,则可得到
$$
-\pmb{\phi}_{n}^{T}\pmb{\mathrm{m}}\,\pmb{\Phi}\,\ddot{\pmb{Y}}(t)+\pmb{\phi}_{n}^{T}\,\mathbf{k}\,\pmb{\Phi}\,\pmb{Y}(t)=\pmb{\phi}_{n}^{T}\,\mathbf{p}(t)
+\pmb{\phi}_{n}^{T}\pmb{\mathrm{m}}\,\pmb{\Phi}\,\ddot{\pmb{Y}}(t)+\pmb{\phi}_{n}^{T}\,\mathbf{k}\,\pmb{\Phi}\,\pmb{Y}(t)=\pmb{\phi}_{n}^{T}\,\mathbf{p}(t)\tag{12-10}
$$
but if the two terms on the left hand side are expanded as shown in Eq. (12-4), all terms except the $n$ th will vanish because of the mode-shape orthogonality properties; hence the result is
但如果左侧的两项按照 Eq. (12-4) 展开,由于模态形状的正交性,除了第 $n$ 项外,所有项都将消失;因此最终结果为:
$$
-\pmb{\phi}_{n}^{T}\mathbf{m}\pmb{\phi}_{n}~\ddot{Y}_{n}(t)+\pmb{\phi}_{n}^{T}\mathbf{k}\pmb{\phi}_{n}~Y_{n}(t)=\pmb{\phi}_{n}^{T}\mathbf{p}(t)
+\pmb{\phi}_{n}^{T}\mathbf{m}\pmb{\phi}_{n}~\ddot{Y}_{n}(t)+\pmb{\phi}_{n}^{T}\mathbf{k}\pmb{\phi}_{n}~Y_{n}(t)=\pmb{\phi}_{n}^{T}\mathbf{p}(t)\tag{12-11}
$$
Now new symbols will be defined as follows:
以下新符号定义如下:
$$
-\begin{array}{r l}&{M_{n}\equiv\boldsymbol{\phi}_{n}^{T}\mathbf{m}\boldsymbol{\phi}_{n}}\\ &{K_{n}\equiv\boldsymbol{\phi}_{n}^{T}\mathbf{k}\boldsymbol{\phi}_{n}}\\ &{P_{n}(t)\equiv\boldsymbol{\phi}_{n}^{T}\mathbf{p}(t)}\end{array}
+\begin{array}{r l}&{M_{n}\equiv\boldsymbol{\phi}_{n}^{T}\mathbf{m}\boldsymbol{\phi}_{n}}\\ &{K_{n}\equiv\boldsymbol{\phi}_{n}^{T}\mathbf{k}\boldsymbol{\phi}_{n}}\\ &{P_{n}(t)\equiv\boldsymbol{\phi}_{n}^{T}\mathbf{p}(t)}\end{array}\tag{12-12 a b c}
$$
which are called the normal-coordinate generalized mass, generalized stiffness, and generalized load for mode $n$ , respectively. With them Eq. (12-11) can be written
这些分别被称为第 $n$ 阶模态的**广义质量**、**广义刚度**和**广义载荷**。利用它们,方程(12-11)可以表示为:
$$
-M_{n}\,\ddot{Y}_{n}(t)+K_{n}\,Y_{n}(t)=P_{n}(t)
+M_{n}\,\ddot{Y}_{n}(t)+K_{n}\,Y_{n}(t)=P_{n}(t)\tag{12-13}
$$
which is a SDOF equation of motion for mode $n$ . If Eq. (11-39), ${\bf k}\phi_{n}=\omega_{n}^{2}{\bf m}\phi_{n}$ , is multiplied on both sides by $\phi_{n}^{T}$ , the generalized stiffness for mode $n$ is related to the generalized mass by the frequency of vibration
@@ -104,7 +104,7 @@ which is a SDOF equation of motion for mode $n$ . If Eq. (11-39), ${\bf k}\phi_{
or
$$
-\begin{array}{r l}&{\phi_{n}^{T}\,\mathbf k\,\phi_{n}=\omega_{n}^{2}\phi_{n}^{T}\,\mathbf m\,\phi_{n}}\\ &{\qquad\qquad\qquad\qquad\qquad\qquad}\\ &{K_{n}=\omega_{n}^{2}M_{n}}\end{array}
+\begin{array}{r l}&{\phi_{n}^{T}\,\mathbf k\,\phi_{n}=\omega_{n}^{2}\phi_{n}^{T}\,\mathbf m\,\phi_{n}}\\ &{\qquad\qquad\qquad\qquad\qquad\qquad}\\ &{K_{n}=\omega_{n}^{2}M_{n}}\end{array}\tag{12-12d}
$$
(Capital letters are used to denote all normal-coordinate properties.)
@@ -122,9 +122,9 @@ $$
$$
Introducing the normal-coordinate expression of Eq. (12-3) and its time derivatives and premultiplying by the transpose of the $n$ th mode-shape vector $\phi_{n}^{T}$ leads to
-将方程(12-3)的正则坐标表达式及其时间导数代入,并左乘第 \( n \) 阶模态形状向量的转置 $\phi_{n}^{T}$,可得到:
+将方程(12-3)的正则坐标表达式及其时间导数代入,并左乘第 $n$ 阶模态形状向量的转置 $\phi_{n}^{T}$,可得到:
$$
-\phi_{n}^{T}\mathbf{m}\Phi\ddot{Y}(t)+\phi_{n}^{T}\mathbf{c}\Phi\dot{Y}(t)+\phi_{n}^{T}\mathbf{k}\Phi Y(t)=\phi_{n}^{T}\mathbf{p}(t)
+\phi_{n}^{T}\mathbf{m}\Phi\ddot{Y}(t)+\phi_{n}^{T}\mathbf{c}\Phi\dot{Y}(t)+\phi_{n}^{T}\mathbf{k}\Phi Y(t)=\phi_{n}^{T}\mathbf{p}(t)\tag{12-14}
$$
It was noted above that the orthogonality conditions
@@ -137,31 +137,31 @@ cause all components except the nth-mode term in the mass and stiffness expressi
在 Eq. (12-14) 的质量和刚度表达式中,**除了第 *n* 阶模态项外**,所有其他组分均消失。若假设阻尼矩阵同样满足相应的正交性条件,则阻尼表达式也将出现类似的简化,即假设:
$$
-\phi_{m}^{T}\,\mathbf{c}\,\phi_{n}=0\qquad m\neq n
+\phi_{m}^{T}\,\mathbf{c}\,\phi_{n}=0\qquad m\neq n\tag{12-15}
$$
In this case Eq. (12-14) may be written
在这种情况下,式(12-14)可表示为:
$$
-M_{n}\ \ddot{Y}_{n}(t)+C_{n}\ \dot{Y}_{n}(t)+K_{n}\ Y_{n}(t)=P_{n}(t)
+M_{n}\ \ddot{Y}_{n}(t)+C_{n}\ \dot{Y}_{n}(t)+K_{n}\ Y_{n}(t)=P_{n}(t)\tag{12-14a}
$$
where the definitions of modal coordinate mass, stiffness, and load have been introduced from Eq. (12-12) and where the modal coordinate viscous damping coefficient has been defined similarly
其中,模态坐标下的质量、刚度和载荷的定义已在式(12-12)中引入,而模态坐标下的黏性阻尼系数则类似地进行了定义。
$$
-C_{n}=\pmb{\phi}_{n}^{T}\pmb{\mathrm{c}}\,\pmb{\phi}_{n}
+C_{n}=\pmb{\phi}_{n}^{T}\pmb{\mathrm{c}}\,\pmb{\phi}_{n}\tag{12-15a}
$$
If Eq. (12-14a) is divided by the generalized mass, this modal equation of motion may be expressed in alternative form:
若将式(12-14a)除以广义质量,该模态运动方程可表示为另一种形式:
$$
-\ddot{Y}_{n}(t)+2\,\xi_{n}\,\omega_{n}\,\dot{Y}_{n}(t)+\omega_{n}^{2}\,Y_{n}(t)=\frac{P_{n}(t)}{M_{n}}
+\ddot{Y}_{n}(t)+2\,\xi_{n}\,\omega_{n}\,\dot{Y}_{n}(t)+\omega_{n}^{2}\,Y_{n}(t)=\frac{P_{n}(t)}{M_{n}}\tag{12-14b}
$$
where Eq. (12-12d) has been used to rewrite the stiffness term and where the second term on the left hand side represents a definition of the modal viscous damping ratio
其中,式(12-12d)被用于重写刚度项,而左侧第二项则定义了模态黏性阻尼比。
$$
-\xi_{n}={\frac{C_{n}}{2\,\omega_{n}\,M_{n}}}
+\xi_{n}={\frac{C_{n}}{2\,\omega_{n}\,M_{n}}}\tag{12-15b}
$$
As was noted earlier, it generally is more convenient and physically reasonable to define the damping of a MDOF system using the damping ratio for each mode in this way rather than to evaluate the coefficients of the damping matrix c because the modal damping ratios $\xi_{n}$ can be determined experimentally or estimated with adequate precision in many cases.
@@ -169,52 +169,52 @@ As was noted earlier, it generally is more convenient and physically reasonable
# 12-4 RESPONSE ANALYSIS BY MODE DISPLACEMENT SUPERPOSITION **模态位移叠加法响应分析**
-# Viscous Damping **粘滞阻尼**
+## Viscous Damping **粘滞阻尼**
The normal coordinate transformation was used in Section 12-3 to convert the $N$ coupled linear damped equations of motion
在第 12-3 节中,采用了**正常坐标变换**将由 $N$ 个耦合的线性阻尼运动方程进行转换。
$$
-\mathbf{m}\,\ddot{\mathbf{v}}(t)+\mathbf{c}\,\dot{\mathbf{v}}(t)+\mathbf{k}\,\mathbf{v}(t)=\mathbf{p}(t)
+\mathbf{m}\,\ddot{\mathbf{v}}(t)+\mathbf{c}\,\dot{\mathbf{v}}(t)+\mathbf{k}\,\mathbf{v}(t)=\mathbf{p}(t)\tag{12-16}
$$
to a set of $N$ uncoupled equations given by 成由以下 $N$ 个 **解耦方程** 组成的集合:
$$
-\ddot{Y}_{n}(t)+2\,\xi_{n}\,\omega_{n}\,\dot{Y}_{n}(t)+\omega_{n}^{2}\,Y_{n}(t)=\frac{P_{n}(t)}{M_{n}}\qquad n=1,2,\cdots,N
+\ddot{Y}_{n}(t)+2\,\xi_{n}\,\omega_{n}\,\dot{Y}_{n}(t)+\omega_{n}^{2}\,Y_{n}(t)=\frac{P_{n}(t)}{M_{n}}\qquad n=1,2,\cdots,N\tag{12-17}
$$
in which
$$
-M_{n}=\phi_{n}^{T}\textbf{m}\phi_{n}\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;P_{n}(t)=\phi_{n}^{T}\textbf{p}(t)
+M_{n}=\phi_{n}^{T}\textbf{m}\phi_{n}\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;P_{n}(t)=\phi_{n}^{T}\textbf{p}(t)\tag{12-18}
$$
To proceed with the solution of these uncoupled equations of motion, one must first solve the eigenvalue problem
要解决这些**解耦**的运动方程,首先必须求解**特征值问题**。
$$
-\left[\mathbf{k}-\omega^{2}\mathbf{m}\right]\,\hat{\mathbf{v}}=\mathbf{0}
+\left[\mathbf{k}-\omega^{2}\mathbf{m}\right]\,\hat{\mathbf{v}}=\mathbf{0}\tag{12-19}
$$
to obtain the required mode shapes $\phi_{n}$ $(n=1,2,\cdot\cdot\cdot)$ and corresponding frequencies $\omega_{n}$ . The modal damping ratios $\xi_{n}$ are usually assumed based on experimental evidence.
为了获得所需的模态形状 $\phi_{n}$($n=1,2,\cdot\cdot\cdot$)及其对应的固有频率 $\omega_{n}$。通常根据实验数据假设各阶模态阻尼比 $\xi_{n}$。
The total response of the MDOF system now can be obtained by solving the $N$ uncoupled modal equations and superposing their effects, as indicated by Eq. (12-3). Each of Eqs. (12-17) is a standard SDOF equation of motion and can be solved in either the time domain or the frequency domain by the procedures described in Chapter 6. The time-domain solution is expressed by the Duhamel integral [see Eq. (6-7)]
-多自由度(MDOF)系统的总响应可通过求解 $N$ 个**解耦**的**模态**方程并叠加其效应来获得,如式(12-3)所示。式(12-17)中的每一个方程均为标准的单自由度(SDOF)运动方程,可通过第 6 章所述的方法在**时域**或**频域**中求解。时域解可用**杜哈美积分**(见式(6-7))表示。
+多自由度(MDOF)系统的总响应可通过求解 $N$ 个**解耦**的**模态**方程并叠加其效应来获得,如式(12-3)所示。式(12-17)中的每一个方程均为标准的单自由度(SDOF)运动方程,可通过第 6 章所述的方法在**时域**或**频域**中求解。时域解可用**杜哈美Duhamel积分**(见式(6-7))表示。
$$
-Y_{n}(t)=\frac{1}{M_{n}\omega_{n}}\,\int_{0}^{t}P_{n}(\tau)\;\exp\big[-\xi_{n}\omega_{n}\left(t-\tau\right)\big]\;\sin\omega_{D n}(t-\tau)\;d\tau
+Y_{n}(t)=\frac{1}{M_{n}\omega_{n}}\,\int_{0}^{t}P_{n}(\tau)\;\exp\big[-\xi_{n}\omega_{n}\left(t-\tau\right)\big]\;\sin\omega_{D n}(t-\tau)\;d\tau\tag{12-20}
$$
which also may be written in standard convolution integral form
也可表示为标准卷积积分形式。
$$
-Y_{n}(t)=\int_{0}^{t}P_{n}(\tau)\;h_{n}(t-\tau)\;d\tau
+Y_{n}(t)=\int_{0}^{t}P_{n}(\tau)\;h_{n}(t-\tau)\;d\tau\tag{12-21}
$$
in which
$$
-h_{n}(t-\tau)=\frac{1}{M_{n}\omega_{D n}}\ \sin\omega_{D n}(t-\tau)\ \exp\big[-\xi_{n}\omega_{n}\left(t-\tau\right)\big]\ \ \ 0<\xi_{n}<1
+h_{n}(t-\tau)=\frac{1}{M_{n}\omega_{D n}}\ \sin\omega_{D n}(t-\tau)\ \exp\big[-\xi_{n}\omega_{n}\left(t-\tau\right)\big]\ \ \ 0<\xi_{n}<1\tag{12-22}
$$
is the unit-impulse response function, similar to Eq. (6-8).
@@ -222,81 +222,89 @@ is the unit-impulse response function, similar to Eq. (6-8).
In the frequency domain, the response is obtained similarly to Eq. (6-24) from
在频域中,响应的获得方式与方程(6-24)类似。
$$
-Y_{n}(t)=\frac{1}{2\pi}\;\int_{-\infty}^{\infty}\mathrm{H}_{n}(i\overline{{{\omega}}})\;\mathrm{P}_{n}(i\overline{{{\omega}}})\;\exp i\overline{{{\omega}}}t\;d\overline{{{\omega}}}
+Y_{n}(t)=\frac{1}{2\pi}\;\int_{-\infty}^{\infty}\mathrm{H}_{n}(i\overline{{{\omega}}})\;\mathrm{P}_{n}(i\overline{{{\omega}}})\;\exp i\overline{{{\omega}}}t\;d\overline{{{\omega}}}\tag{12-23}
$$
In this equation, the complex load function $\mathrm{P}_{n}(i\overline{{\omega}})$ is the Fourier transform of the modal loading $P_{n}(t)$ , and similar to Eq. (6-23) it is given by
在此方程中,复杂载荷函数 $\mathrm{P}_{n}(i\overline{{\omega}})$ 是模态载荷 $P_{n}(t)$ 的傅里叶变换,与式(6-23)类似,其表达式为
$$
-\mathbf{P}_{n}(i\overline{{\omega}})=\int_{-\infty}^{\infty}P_{n}(t)\,\exp(-i\overline{{\omega}}t)\;d t
+\mathbf{P}_{n}(i\overline{{\omega}})=\int_{-\infty}^{\infty}P_{n}(t)\,\exp(-i\overline{{\omega}}t)\;d t\tag{12-24}
$$
Also in Eq. (12-23), the complex frequency response function, $\mathrm{H}_{n}(i\overline{{\omega}})$ , may be expressed similarly to Eq. (6-25) as follows:
在方程(12-23)中,复频响应函数 $\mathrm{H}_{n}(i\overline{{\omega}})$ 也可类似于方程(6-25)表示如下:
$$
-\begin{array}{r l r}{\mathrm{H}_{n}(i\overline{{\omega}})=\frac{1}{\omega_{n}^{2}M_{n}}\left[\frac{1}{\left(1-\beta_{n}^{2}\right)+i(2\xi_{n}\beta_{n})}\right]}&{}&\\ {=\frac{1}{\omega_{n}^{2}M_{n}}\left[\frac{\left(1-\beta_{n}^{2}\right)-i(2\xi_{n}\beta_{n})}{(1-\beta_{n}^{2})^{2}+(2\xi_{n}\beta_{n})^{2}}\right]}&{}&{\xi_{n}\ge0}\end{array}
+\begin{array}{r l r}{\mathrm{H}_{n}(i\overline{{\omega}})=\frac{1}{\omega_{n}^{2}M_{n}}\left[\frac{1}{\left(1-\beta_{n}^{2}\right)+i(2\xi_{n}\beta_{n})}\right]}&{}&\\ {=\frac{1}{\omega_{n}^{2}M_{n}}\left[\frac{\left(1-\beta_{n}^{2}\right)-i(2\xi_{n}\beta_{n})}{(1-\beta_{n}^{2})^{2}+(2\xi_{n}\beta_{n})^{2}}\right]}&{}&{\xi_{n}\ge0}\end{array}\tag{12-25}
$$
In these functions, $\beta_{n}\equiv\,\overline{{\omega}}/\omega_{n}$ and $\omega_{D n}\,=\,\omega_{n}\sqrt{1-\xi_{n}^{2}}$ . As indicated previously by Eqs. (6-53) and (6-54), $h_{n}(t)$ and $\mathrm{H}_{n}(i\overline{{\omega}})$ are Fourier transform pairs. Solving Eq. (12-20) or (12-23) for any general modal loading yields the modal response $Y_{n}(t)$ for $t\,\geq\,0$ , assuming zero initial conditions, i.e., $Y_{n}(0)\,=\,\dot{Y}_{n}(0)\,=\,0$ . Should the initial conditions not equal zero, the damped free-vibration response [Eq. (2-49)]
+
在这些函数中,$\beta_{n}\equiv\,\overline{{\omega}}/\omega_{n}$ 且 $\omega_{D n}\,=\,\omega_{n}\sqrt{1-\xi_{n}^{2}}$。如前所述(式(6-53)和(6-54)所示),$h_{n}(t)$ 和 $\mathrm{H}_{n}(i\overline{{\omega}})$ 是傅里叶变换对。对于任意一般模态载荷,通过求解方程(12-20)或(12-23)可得到模态响应 $Y_{n}(t)$($t\,\geq\,0$),假设初始条件为零,即 $Y_{n}(0)\,=\,\dot{Y}_{n}(0)\,=\,0$。若初始条件不为零,则需考虑阻尼自由振动响应(式(2-49))。
$$
-Y_{n}(t)=\left[Y_{n}(0)\,\cos{\omega_{D n}t}+\left(\frac{\dot{Y}_{n}(0)+Y_{n}(0)\xi_{n}\omega_{n}}{\omega_{D n}}\right)\,\sin{\omega_{D n}t}\right]\,\exp(-\xi_{n}\omega_{n}t)
+Y_{n}(t)=\left[Y_{n}(0)\,\cos{\omega_{D n}t}+\left(\frac{\dot{Y}_{n}(0)+Y_{n}(0)\xi_{n}\omega_{n}}{\omega_{D n}}\right)\,\sin{\omega_{D n}t}\right]\,\exp(-\xi_{n}\omega_{n}t)\tag{12-26}
$$
must be added to the forced-vibration response given by Eqs. (12-20) or (12-23). The initial conditions $Y_{n}(0)$ and $\dot{Y}_{n}(0)$ in this equation are determined from $\mathbf{v}(0)$ and $\dot{\mathbf{v}}(0)$ using Eqs. (12-6) and (12-7) in the forms
-
+必须将其添加到方程(12-20)或(12-23)给出的强迫振动响应中。该方程中的初始条件 $Y_{n}(0)$ 和 $\dot{Y}_{n}(0)$ 可通过方程(12-6)和(12-7)的形式,利用 $\mathbf{v}(0)$ 和 $\dot{\mathbf{v}}(0)$ 确定。
$$
-\begin{array}{l}{\displaystyle Y_{n}(0)=\frac{\phi_{n}^{T}\textbf{m v}(0)}{\phi_{n}^{T}\textbf{m}\phi_{n}}}\\ {\displaystyle\dot{Y}_{n}(0)=\frac{\phi_{n}^{T}\textbf{m}\dot{\mathbf{v}}(0)}{\phi_{n}^{T}\textbf{m}\phi_{n}}}\end{array}
+{\displaystyle Y_{n}(0)=\frac{\phi_{n}^{T}\textbf{m v}(0)}{\phi_{n}^{T}\textbf{m}\phi_{n}}}\tag{12-27}
+$$
+$$
+{\displaystyle\dot{Y}_{n}(0)=\frac{\phi_{n}^{T}\textbf{m}\dot{\mathbf{v}}(0)}{\phi_{n}^{T}\textbf{m}\phi_{n}}}\tag{12-28}
$$
Having generated the total response for each mode $Y_{n}(t)$ using either Eq. (12- 20) or Eq. (12-23) and Eq. (12-26), the displacements expressed in the geometric coordinates can be obtained using Eq. (12-2), i.e.,
-
+在使用公式(12-20)或公式(12-23)和(12-26)生成各模态 $Y_{n}(t)$ 的总响应后,可通过几何坐标下的位移表达式(即公式(12-2))得到各模态的位移,即:
$$
-\mathbf{v}(t)=\phi_{1}\,\,Y_{1}(t)+\phi_{2}\,\,Y_{2}(t)+\cdot\,\cdot\,\cdot+\phi_{N}\,\,Y_{N}(t)
+\mathbf{v}(t)=\phi_{1}\,\,Y_{1}(t)+\phi_{2}\,\,Y_{2}(t)+\cdot\,\cdot\,\cdot+\phi_{N}\,\,Y_{N}(t)\tag{12-29}
$$
which superposes the separate modal displacement contributions; hence, the commonly referred to name mode superposition method. It should be noted that for most types of loadings the displacement contributions generally are greatest for the lower modes and tend to decrease for the higher modes. Consequently, it usually is not necessary to include all the higher modes of vibration in the superposition process; the series can be truncated when the response has been obtained to any desired degree of accuracy. Moreover, it should be kept in mind that the mathematical idealization of any complex structural system also tends to be less reliable in predicting the higher modes of vibration; for this reason, too, it is well to limit the number of modes considered in a dynamic-response analysis.
+该方法将各独立模态位移贡献进行叠加,因此常被称为**模态叠加法**。需要注意的是,对于大多数类型的荷载作用,位移贡献通常在低阶模态中最大,而随着模态阶数升高而逐渐减小。因此,在叠加过程中通常不需要包含所有高阶模态;当响应达到所需精度时,级数可以截断。此外,还应考虑到,任何复杂结构系统的数学理想化在预测高阶模态时可靠性较低;基于此,在动力响应分析中也应适当限制所考虑的模态数量。
The displacement time-histories in vector $\mathbf{v}(t)$ may be considered to be the basic measure of a structure’s overall response to dynamic loading. In general, other response parameters such as stresses or forces developed in various structural components can be evaluated directly from the displacements. For example, the elastic forces $\mathbf{f}_{S}$ which resist the deformation of the structure are given directly by
-
+结构在动载作用下的整体响应可通过向量形式的位移时程 **$\mathbf{v}(t)$** 来衡量。通常,其他响应参数(如各结构构件中的应力或作用力)均可直接由位移推导得出。例如,抵抗结构变形的弹性力 **$\mathbf{f}_{S}$** 可直接表示为:
$$
-\mathbf{f}_{S}(t)=\mathbf{k}\;\mathbf{v}(t)=\mathbf{k}\;\Phi\;Y(t)
+\mathbf{f}_{S}(t)=\mathbf{k}\;\mathbf{v}(t)=\mathbf{k}\;\Phi\;Y(t)\tag{12-30}
$$
An alternative expression for the elastic forces may be useful in cases where the frequencies and mode shapes have been determined from the flexibility form of the eigenvalue equation [Eq. (11-17)]. Writing Eq. (12-30) in terms of the modal contributions
-
+在某些情况下,当频率和模态形状是通过柔度形式的特征值方程(式(11-17))确定的,弹性力的另一种表达方式可能更为有用。将式(12-30)用模态贡献表示。
$$
-{\mathbf{f}}_{S}(t)={\mathbf{k}}\;\phi_{1}\;Y_{1}(t)+{\mathbf{k}}\;\phi_{2}\;Y_{2}(t)+{\mathbf{k}}\;\phi_{3}\;Y_{3}(t)+\cdot\cdot\cdot
+{\mathbf{f}}_{S}(t)={\mathbf{k}}\;\phi_{1}\;Y_{1}(t)+{\mathbf{k}}\;\phi_{2}\;Y_{2}(t)+{\mathbf{k}}\;\phi_{3}\;Y_{3}(t)+\cdot\cdot\cdot\tag{12-31}
$$
and substituting Eq. (11-39) leads to
$$
-\mathbf{f}_{S}(t)=\omega_{1}^{2}\,\mathbf{m}\,\phi_{1}\,Y_{1}(t)+\omega_{2}^{2}\,\mathbf{m}\,\phi_{2}\,Y_{2}(t)+\omega_{3}^{2}\,\mathbf{m}\,\phi_{3}\,Y_{3}(t)+\cdot\cdot\cdot
+\mathbf{f}_{S}(t)=\omega_{1}^{2}\,\mathbf{m}\,\phi_{1}\,Y_{1}(t)+\omega_{2}^{2}\,\mathbf{m}\,\phi_{2}\,Y_{2}(t)+\omega_{3}^{2}\,\mathbf{m}\,\phi_{3}\,Y_{3}(t)+\cdot\cdot\cdot\tag{12-32}
$$
Writing this series in matrix form gives
+将该系列以矩阵形式表示,得到:
$$
-\mathbf{f}_{S}(t)=\mathbf{m}\boldsymbol{\Phi}\left\{\omega_{n}^{2}\,Y_{n}(t)\right\}
+\mathbf{f}_{S}(t)=\mathbf{m}\boldsymbol{\Phi}\left\{\omega_{n}^{2}\,Y_{n}(t)\right\}\tag{12-33}
$$
where $\{\omega_{n}^{2}\,Y_{n}(t)\}$ represents a vector of modal amplitudes each multiplied by the square of its modal frequency.
+其中 $\{\omega_{n}^{2}\,Y_{n}(t)\}$ 表示一个向量,包含每个模态振幅乘以其模态频率的平方。
In Eq. (12-33), the elastic force associated with each modal component has been replaced by an equivalent modal inertial-force expression. The equivalence of these expressions was demonstrated from the equations of free-vibration equilibrium [Eq. (11-39)]; however, it should be noted that this substitution is valid at any time, even for a static analysis.
+在式(12-33)中,每个模态分量相关的弹性力已被等效的模态惯性力表达式所替代。虽然这些表达式的等效性是通过自由振动平衡方程 [式(11-39)] 进行了证明,但应注意的是,这种替换在任何时刻都成立,即使是在静力分析中。
Because each modal contribution is multiplied by the square of the modal frequency in Eq. (12-33), it is evident that the higher modes are of greater significance in defining the forces in the structure than they are in the displacements. Consequently, it will be necessary to include more modal components to define the forces to any desired degree of accuracy than to define the displacements.
+由于方程(12-33)中每个模态贡献均乘以模态频率的平方,显然高阶模态在定义结构中的**力**方面比在**位移**方面具有更大的重要性。因此,为了以所需的精确度定义**力**,需要包含更多的模态分量,而定义**位移**时则不需如此。
-Example E12-1. Various aspects of the mode-superposition procedure will be illustrated by reference to the three-story frame structure of Example E11-1 (Fig. E11-1). For convenience, the physical and vibration properties of
-
-the structure are summarized here:
+Example E12-1. Various aspects of the mode-superposition procedure will be illustrated by reference to the three-story frame structure of Example E11-1 (Fig. E11-1). For convenience, the physical and vibration properties of the structure are summarized here:
+各种模态叠加方法的具体应用将通过参考示例 E11-1(图 E11-1)中的三层框架结构进行说明。为了方便起见,该结构的物理和振动特性在此总结如下:
$$
-\mathbf{m}={\left[\begin{array}{l l l}{1.0}&{0}&{0}\\ {0}&{1.5}&{0}\\ {0}&{0}&{2.0}\end{array}\right]}{\begin{array}{l}{k i p s\cdot s e c^{2}/i n}\\ {k i p s\cdot s e c^{2}/i n}\\ {0}\end{array}}
+\mathbf{m}=\begin{array}{array}{\left[\begin{array}{l l l}{1.0}&{0}&{0}\\ {0}&{1.5}&{0}\\ {0}&{0}&{2.0}\end{array}\right]}{k i p s\cdot s e c^{2}/i n}\end{array}
$$
$$
-\mathbf{k}=600\begin{array}{array}{r}{\left[\begin{array}{r r r r}{1}&{-1}&{0}\\ {-1}&{3}&{-2}\\ {0}&{-2}&{5}\end{array}\right]\,\,k i p s/i n}\end{array}
+\mathbf{k}=600\begin{array}{array}{\left[\begin{array}{r r r r}{1}&{-1}&{0}\\ {-1}&{3}&{-2}\\ {0}&{-2}&{5}\end{array}\right]\,\,k i p s/i n}\end{array}
$$
$$
@@ -413,31 +421,34 @@ $$
That the higher-mode contributions are more significant with respect to the force response than for the displacements is quite evident from a comparison of expressions (f) and (g).
-# Complex-Stiffness Damping
+## Complex-Stiffness Damping**复杂刚度阻尼**
As pointed out in Section 3-7, damping of the linear viscous form represented in Eqs. (12-17) has a serious deficiency because the energy loss per cycle at a fixed displacement amplitude is dependent upon the response frequency; see Eq. (3-61). Since this dependency is at variance with a great deal of test evidence which indicates that the energy loss per cycle is essentially independent of the frequency, it would be better to solve the uncoupled normal mode equations of motion in the frequency domain using complex-stiffness damping rather than viscous damping; in that case the energy loss per cycle would be independent of frequency; see Eq. (3-84).
+如第 3-7 节所述,方程(12-17)中所示的线性黏性阻尼形式存在严重不足,因为其在固定位移振幅下每周期的能量损失依赖于响应频率(见方程(3-61))。由于这一依赖关系与大量实验证据相矛盾——实验表明每周期的能量损失在本质上与频率无关,因此更合理的做法是采用复数刚度阻尼(而非黏性阻尼)在频域内求解解耦的简正模态运动方程;此时,每周期的能量损失将不依赖于频率(见方程(3-84))。
Making this change in type of damping by using a complex-generalized-stiffness of the form given by Eq. (3-79), that is, using
-
+将阻尼类型的变化通过采用 Eq. (3-79) 中给出的复数广义刚度形式实现,即采用
$$
-\hat{K}_{n}=K_{n}\,\left[1+i\,2\,\xi_{n}\right]
+\hat{K}_{n}=K_{n}\,\left[1+i\,2\,\xi_{n}\right]\tag{12-34}
$$
in which
$$
-K_{n}=\omega_{n}^{2}\:M_{n}
+K_{n}=\omega_{n}^{2}\:M_{n}\tag{12-35}
$$
the response will be given by Eq. (12-23) using the complex-frequency-response transfer function
-
+响应将由式(12-23)给出,采用复频域响应传递函数。
$$
-\mathrm{H}_{n}(i\overline{{\omega}})=\frac{1}{\omega_{n}^{2}\,M_{n}}\left[\frac{1}{\left(1-\beta_{n}^{2}\right)+i\left(2\xi_{n}\right)}\right]=\frac{1}{\omega_{n}^{2}\,M_{n}}\left[\frac{(1-\beta_{n}^{2})-i\left(2\xi_{n}\right)}{(1-\beta_{n}^{2})^{2}+(2\xi_{n})^{2}}\right]
+\mathrm{H}_{n}(i\overline{{\omega}})=\frac{1}{\omega_{n}^{2}\,M_{n}}\left[\frac{1}{\left(1-\beta_{n}^{2}\right)+i\left(2\xi_{n}\right)}\right]=\frac{1}{\omega_{n}^{2}\,M_{n}}\left[\frac{(1-\beta_{n}^{2})-i\left(2\xi_{n}\right)}{(1-\beta_{n}^{2})^{2}+(2\xi_{n})^{2}}\right]\tag{12-36}
$$
rather than the corresponding transfer function given by Eq. (12-25) for viscous damping; see Eq. (6-46). All quantities in this transfer function are defined the same as those in the transfer function of Eq. (12-25).
+与粘滞阻尼对应的传递函数(见方程(12-25))不同,此处采用方程(6-46)所示的传递函数。该传递函数中所有量的定义与方程(12-25)中的传递函数一致。
Having obtained the forced-vibration response $Y_{n}(t)$ for each normal mode of interest (a limited number of the lower modes) using Eqs. (12-23), (12-24), and (12-36), the free-vibration response of Eq. (12-26) can be added to it giving the total response. One can then proceed to obtain the displacement vector $\mathbf{v}(t)$ by superposition using Eq. (12-29) and the elastic force vector $\mathbf{f}_{S}(t)$ using either Eq. (12-30) or Eq. (12-33).
+通过使用方程(12-23)、(12-24)和(12-36)获得各感兴趣简正模态(仅限少数低阶模态)的强迫振动响应 $Y_{n}(t)$ 后,可将其与方程(12-26)中的自由振动响应相加,得到总响应。接下来,可通过方程(12-29)进行叠加得到位移向量 $\mathbf{v}(t)$,并利用方程(12-30)或(12-33)求得弹性力向量 $\mathbf{f}_{S}(t)$。
Example E12-3. A mechanical exciter placed on the top mass of the frame shown in Fig. E11-1 subjects the structure to a harmonic lateral loading of amplitude $p_{0}$ at frequency $\overline{{\omega}}$ , i.e., it produces the force
@@ -503,77 +514,87 @@ $$
In the above Example E12-3, the loading was of a simple harmonic form which allowed an easy solution using the appropriate transfer functions in the frequency domain. However, if each component in vector $\mathbf p(t)$ had been nonperiodic of arbitrary form giving corresponding nonperiodic normal-coordinate generalized loads $P_{n}(t)$ $(n=1,2,3)$ ) in accordance with Eq. (12-12c), it would be necessary to Fourier transform each of these generalized loads as indicated by Eq. (12-24) using the FFT procedure described in Chapter 6, thus obtaining $N-1$ discrete harmonics in accordance with $N=2^{\gamma}$ where $\gamma$ is an integer selected appropriately; see discussion of solutions in Fig. 6-4. Assuming zero initial conditions on each normal coordinate $Y_{n}(t)$ $(n=1,2,3)$ ), its time-history of response following $t=0$ would be obtained upon multiplying each discrete harmonic in $P_{n}(t)$ by the corresponding complex frequency response transfer function as illustrated in Example E12-3. The $N\!-\!1$ products would then be summed giving $Y_{n}(t)$ . Carrying out this procedure for all values of $n=1,2,3$ , the time-histories of response $\mathbf{v}(t)$ would be obtained by superposition as in Example E12-3.
-# 12-5 CONSTRUCTION OF PROPORTIONAL VISCOUS DAMPING MATRICES
+# 12-5 CONSTRUCTION OF PROPORTIONAL VISCOUS DAMPING MATRICES **比例粘滞阻尼矩阵的构建**
-# Rayleigh Damping
+## Rayleigh Damping
As was stated above, generally there is no need to express the damping of a typical viscously damped MDOF system by means of the damping matrix because it is represented more conveniently in terms of the modal damping ratios $\xi_{n}$ $\left[n\right.=$ $1,2,\cdots,N)$ . However, in at least two dynamic analysis situations the response is not obtained by superposition of the uncoupled modal responses, so the damping cannot be expressed by the damping ratios — instead an explicit damping matrix is needed. These two situations are: (1) nonlinear responses, for which the mode shapes are not fixed but are changing with changes of stiffness, and (2) analysis of a linear system having nonproportional damping. In both of these circumstances, the most effective way to determine the required damping matrix is to first evaluate one or more proportional damping matrices. In performing a nonlinear analysis, it is appropriate to define the proportional damping matrix for the initial elastic state of the system (before nonlinear deformations have occurred) and to assume that this damping property remains constant during the response even though the stiffness may be changing and causing hysteretic energy losses in addition to the viscous damping losses. In cases where the damping is considered to be nonproportional, an appropriate damping matrix can be constructed by assembling a set of suitably derived proportional damping matrices, as explained later in this section. Thus for these two situations, it is necessary to be able to derive appropriate proportional damping matrices.
+如前所述,通常无需通过阻尼矩阵来表达典型黏滞阻尼多自由度(MDOF)系统的阻尼,因为其更方便地以**模态阻尼比** $\xi_{n}$($n=1,2,\cdots,N$)表示。然而,在至少两种动力学分析场景中,响应并非通过解耦模态响应的叠加获得,因此无法用阻尼比表示阻尼——此时需明确给出一个**阻尼矩阵**。这两种情况包括:
+1. **非线性响应**,此时模态形状不固定,且随刚度变化而变化;
+2. **具有非比例阻尼的线性系统**分析。
+在这两种情况下,**确定所需阻尼矩阵的最有效方法**是先评估一个或多个**比例阻尼矩阵**。在进行非线性分析时,应定义系统初始弹性状态(未发生非线性变形前)的比例阻尼矩阵,并假设该阻尼特性在响应过程中保持不变,即使刚度可能变化并导致额外的**滞回能量损失**(除黏滞阻尼损失外)。对于非比例阻尼情况,可通过组合一组合理推导的比例阻尼矩阵构建适当的阻尼矩阵(后文将详细说明)。因此,**在这两种情况下,能够推导出合适的比例阻尼矩阵是必要的**。
+
Clearly the simplest way to formulate a proportional damping matrix is to make it proportional to either the mass or the stiffness matrix because the undamped mode shapes are orthogonal with respect to each of these. Thus the damping matrix might be given by
+显然,构造一个比例阻尼矩阵最简单的方法是将其与质量矩阵或刚度矩阵成比例关系,因为无阻尼模态形状在这两种矩阵下都是正交的。因此,阻尼矩阵可以表示为:
$$
-\mathbf{c}=a_{0}\;\mathbf{m}\qquad{\mathrm{or}}\qquad\mathbf{c}=a_{1}\;\mathbf{k}
+\mathbf{c}=a_{0}\;\mathbf{m}\qquad{\mathrm{or}}\qquad\mathbf{c}=a_{1}\;\mathbf{k}\tag{12-37a}
$$
in which the proportionality constants $a_{0}$ and $a_{1}$ have units of $s e c^{-1}$ and $s e c$ , respectively. These are called mass proportional and stiffness proportional damping, and the damping behavior associated with them may be recognized by evaluating the generalized modal damping value for each [see Eq. (12-15a)],
-
+其中,比例常数$a_{0}$ 和$a_{1}$ 的单位分别为$\mathrm{sec}^{-1}$ 和$\mathrm{sec}$。它们被称为质量比例阻尼和刚度比例阻尼,其对应的阻尼行为可通过计算各自的广义模态阻尼值来识别(见式(12-15a))。
$$
-\begin{array}{r}{C_{n}=\phi_{n}^{T}\,c\,\phi_{n}=a_{0}\,\phi_{n}^{T}\,{\bf m}\,\phi_{n}\qquad\mathrm{or}\qquad a_{1}\,\phi_{n}^{T}\,{\bf k}\,\phi_{n}}\end{array}
+\begin{array}{r}{C_{n}=\phi_{n}^{T}\,c\,\phi_{n}=a_{0}\,\phi_{n}^{T}\,{\bf m}\,\phi_{n}\qquad\mathrm{or}\qquad a_{1}\,\phi_{n}^{T}\,{\bf k}\,\phi_{n}}\end{array}\tag{12-37b}
$$
or combining with Eq. (12-15b)
$$
-2\omega_{n}\,M_{n}\,\xi_{n}=a_{0}\;M_{n}\quad\mathrm{or}\quad a_{1}\,K_{n}\qquad\mathrm{(where}\quad K_{n}=\omega_{n}^{2}\,M_{n})
+2\omega_{n}\,M_{n}\,\xi_{n}=a_{0}\;M_{n}\quad\mathrm{or}\quad a_{1}\,K_{n}\qquad\mathrm{(where}\quad K_{n}=\omega_{n}^{2}\,M_{n})\tag{12-37c}
$$
from which
$$
-\xi_{n}=\frac{a_{0}}{2\omega_{n}}\qquad\mathrm{or}\qquad\xi_{n}=\frac{a_{1}\omega_{n}}{2}
+\xi_{n}=\frac{a_{0}}{2\omega_{n}}\qquad\mathrm{or}\qquad\xi_{n}=\frac{a_{1}\omega_{n}}{2}\tag{12-37d}
$$
These expressions show that for mass proportional damping, the damping ratio is inversely proportional to the frequency while for stiffness proportional damping it is directly in proportion with the frequency. In this regard it is important to note that the dynamic response generally will include contributions from all $N$ modes even though only a limited number of modes are included in the uncoupled equations of motion. Thus, neither of these types of damping matrix is suitable for use with an MDOF system in which the frequencies of the significant modes span a wide range because the relative amplitudes of the different modes will be seriously distorted by inappropriate damping ratios.
+这些表达式表明,对于质量比例阻尼,阻尼比与频率成反比;而对于刚度比例阻尼,阻尼比则与频率成正比。在此情况下,需要注意的是,动态响应通常会包含来自所有 $N$ 个模态的贡献,尽管在解耦的运动方程中仅包含有限数量的模态。因此,这两种类型的阻尼矩阵都不适用于频率跨度较大的多自由度(MDOF)系统,因为不同模态的相对振幅将因不恰当的阻尼比而严重扭曲。
An obvious improvement results if the damping is assumed to be proportional to a combination of the mass and the stiffness matrices as given by the sum of the two alternative expressions shown in Eq. (12-37a):
-
+假设阻尼与质量矩阵和刚度矩阵的组合成正比,如方程(12-37a)中所示的两种表达式之和,则显然可以获得显著的改进。
$$
-\mathbf{c}=a_{0}\ \mathbf{m}+a_{1}\ \mathbf{k}
+\mathbf{c}=a_{0}\ \mathbf{m}+a_{1}\ \mathbf{k}\tag{12-38a}
$$
This is called Rayleigh damping, after Lord Rayleigh, who first suggested its use. By analogy with the development in Eqs. (12-37b) to (12-37d), it is evident that Rayleigh damping leads to the following relation between damping ratio and frequency
+此方法称为 **瑞利阻尼**(Rayleigh damping),以瑞利勋爵(Lord Rayleigh)命名,他首次提出了这一概念。通过类比方程(12-37b)至(12-37d)的推导过程,可以得出瑞利阻尼下阻尼比与频率之间的关系如下:
$$
-\xi_{n}=\frac{a_{0}}{2\omega_{n}}+\frac{a_{1}\omega_{n}}{2}
+\xi_{n}=\frac{a_{0}}{2\omega_{n}}+\frac{a_{1}\omega_{n}}{2}\tag{12-38b}
$$
The relationships between damping ratio and frequency expressed by Eqs. (12-37d) and (12-38b) are shown graphically in Fig. 12-2.
-
-Now it is apparent that the two Rayleigh damping factors, $a_{0}$ and $a_{1}$ , can be evaluated by the solution of a pair of simultaneous equations if the damping ratios $\xi_{m}$ and $\xi_{n}$ associated with two specific frequencies (modes) $\omega_{m},\omega_{n}$ are known. Writing Eq. (12-38b) for each of these two cases and expressing the two equations in matrix
+方程(12-37d)和(12-38b)所描述的阻尼比与频率之间的关系在图 12-2 中以图形形式展示。
+Now it is apparent that the two Rayleigh damping factors, $a_{0}$ and $a_{1}$ , can be evaluated by the solution of a pair of simultaneous equations if the damping ratios $\xi_{m}$ and $\xi_{n}$ associated with two specific frequencies (modes) $\omega_{m},\omega_{n}$ are known. Writing Eq. (12-38b) for each of these two cases and expressing the two equations in matrix form leads to
+现在可以明显看出,如果已知与两个特定频率(模态)$\omega_{m}、\omega_{n}$ 对应的阻尼比 $\xi_{m}$ 和 $\xi_{n}$,则两个瑞利阻尼系数 $a_{0}$ 和 $a_{1}$ 可以通过解一对联立方程来求得。将式(12-38b)分别应用于这两种情况,并以矩阵形式表示这两个方程,可得到

-form leads to
$$
-\left\{\begin{array}{c}{\xi_{m}}\\ {\xi_{n}}\end{array}\right\}=\frac{1}{2}\begin{array}{c}{\left[1/\omega_{m}\quad\omega_{m}\right]}\\ {\left[1/\omega_{n}\quad\omega_{n}\right]}\end{array}\left\{\begin{array}{c}{a_{0}}\\ {a_{1}}\end{array}\right\}
+\left\{\begin{array}{c}{\xi_{m}}\\ {\xi_{n}}\end{array}\right\}=\frac{1}{2}\begin{array}{c}{\left[1/\omega_{m}\quad\omega_{m}\right]}\\ {\left[1/\omega_{n}\quad\omega_{n}\right]}\end{array}\left\{\begin{array}{c}{a_{0}}\\ {a_{1}}\end{array}\right\}\tag{12-39}
$$
and the factors resulting from the simultaneous solution are
-
+同时求解得到的各因子为:
$$
-\left\{{\begin{array}{c}{a_{0}}\\ {a_{1}}\end{array}}\right\}=2\;{\frac{\omega_{m}\omega_{n}}{\omega_{n}^{2}-\omega_{m}^{2}}}\;\left[{\begin{array}{c c}{\omega_{n}}&{-\omega_{m}}\\ {-1/\omega_{n}}&{1/\omega_{m}}\end{array}}\right]\;{\left\{{\begin{array}{c}{\xi_{m}}\\ {\xi_{n}}\end{array}}\right\}}
+\left\{{\begin{array}{c}{a_{0}}\\ {a_{1}}\end{array}}\right\}=2\;{\frac{\omega_{m}\omega_{n}}{\omega_{n}^{2}-\omega_{m}^{2}}}\;\left[{\begin{array}{c c}{\omega_{n}}&{-\omega_{m}}\\ {-1/\omega_{n}}&{1/\omega_{m}}\end{array}}\right]\;{\left\{{\begin{array}{c}{\xi_{m}}\\ {\xi_{n}}\end{array}}\right\}}\tag{12-40}
$$
When these factors have been evaluated, the proportional damping matrix that will give the required values of damping ratio at the specified frequencies is given by the Rayleigh damping expression, Eq. (12-38a), as shown by Fig. 12-2.
+当对这些因素进行评估后,能够在指定频率下提供所需阻尼比的比例阻尼矩阵,可通过瑞利阻尼表达式(式(12-38a))给出,如图 12-2 所示。
Because detailed information about the variation of damping ratio with frequency seldom is available, it usually is assumed that the same damping ratio applies to both control frequencies; i.e., $\xi_{m}=\xi_{n}\equiv\xi$ . In this case, the proportionality factors are given by a simplified version of Eq. (12-40):
-
+由于关于阻尼比随频率变化的详细信息鲜有可用,通常假设相同的阻尼比适用于两种控制频率,即:$\xi_{m} = \xi_{n} \equiv \xi$。此时,比例系数由 Eq. (12-40) 的简化形式给出:
$$
-\left\{{\begin{array}{c}{a_{0}}\\ {a_{1}}\end{array}}\right\}={\frac{2\xi}{\omega_{m}+\omega_{n}}}\,\left\{{\begin{array}{c}{\omega_{m}\omega_{n}}\\ {1}\end{array}}\right\}
+\left\{{\begin{array}{c}{a_{0}}\\ {a_{1}}\end{array}}\right\}={\frac{2\xi}{\omega_{m}+\omega_{n}}}\,\left\{{\begin{array}{c}{\omega_{m}\omega_{n}}\\ {1}\end{array}}\right\}\tag{12-41}
$$
In applying this proportional damping matrix derivation procedure in practice, it is recommended that $\omega_{m}$ generally be taken as the fundamental frequency of the MDOF system and that $\omega_{n}$ be set among the higher frequencies of the modes that contribute significantly to the dynamic response. The derivation ensures that the desired damping ratio is obtained for these two modes (i.e., $\xi_{1}=\xi_{n}=\xi)$ ; then as shown by Fig. 12-2, modes with frequencies between these two specified frequencies will have somewhat lower values of damping ratio, while all modes with frequencies greater than $\omega_{n}$ will have damping ratios that increases above $\xi_{n}$ monotonically with frequency. The end result of this situation is that the responses of very high frequency modes are effectively eliminated by their high damping ratios.
+在实际应用该比例阻尼矩阵推导程序时,建议通常将 $\omega_{m}$ 取为多自由度(MDOF)系统的基频,而将 $\omega_{n}$ 设定为对动力响应有显著贡献的高阶模态频率之一。该推导确保这两个模态(即第1模态和第 $n$ 模态)能达到所需的阻尼比(即 $\xi_{1} = \xi_{n} = \xi$);如图 12-2 所示,频率位于这两者之间的模态将具有略低的阻尼比,而所有频率高于 $\omega_{n}$ 的模态其阻尼比则会随着频率单调递增超过 $\xi_{n}$。这种情况的最终结果是,高频模态的响应因其较高的阻尼比而被有效抑制。
Example E12-4. For the structure of Example E11-1, an explicit damping matrix is to be defined such that the damping ratio in the first and third modes will be 5 percent of critical. Assuming Rayleigh damping, the proportionality factors $a_{0}$ and $a_{1}$ can be evaluated from Eq. (12-39), using the frequency data listed in Example E12-1, as follows:
@@ -607,48 +628,49 @@ $$
Hence, even though only the first and third damping ratios were specified, the resulting damping ratio for the second mode is a reasonable value.
-# Extended Rayleigh Damping
+## Extended Rayleigh Damping
The mass and stiffness matrices used to formulate Rayleigh damping are not the only matrices to which the free-vibration mode-shape orthogonality conditions apply; in fact, it was shown earlier in Eq. (11-44) that an infinite number of matrices have this property. Therefore a proportional damping matrix can be made up of any combination of these matrices, as follows:
-
+以下矩阵和刚度矩阵用于雷利阻尼(Rayleigh damping)的建模,并非唯一满足自由振动模态正交性条件的矩阵;实际上,如前所述(见式(11-44)),无限多个矩阵具有这一性质。因此,比例阻尼矩阵可以由这些矩阵的任意组合构成,具体如下:
$$
-\mathbf{c}=m\,\sum_{b}a_{b}[m^{-1}\,k]^{b}\equiv\sum_{b}\,c_{b}
+\mathbf{c}=m\,\sum_{b}a_{b}[m^{-1}\,k]^{b}\equiv\sum_{b}\,c_{b}\tag{12-42}
$$
in which the coefficients $a_{b}$ are arbitrary. It is evident that Rayleigh damping is given by Eq. (12-42) if only the terms $b=0$ and $b=1$ are retained in the series. By retaining additional terms of the series a proportional damping matrix can be constructed that gives any desired damping ratio $\xi_{n}$ at a specified frequency $\omega_{n}$ for as many frequencies as there are terms in the series of Eq. (12-42).
+在其中,$a_{b}$ 为任意系数。显然,若仅保留级数中 $b=0$ 和 $b=1$ 的项,则瑞利阻尼(Rayleigh damping)即由式(12-42)给出。通过保留级数中的额外项,可以构造出一个比例阻尼矩阵,该矩阵能够在指定频率 $\omega_{n}$ 下为任意阻尼比 $\xi_{n}$ 提供所需的阻尼效果,且可支持的频率数量与式(12-42)级数中的项数相同。
-To understand the procedure, consider the generalized damping value $C_{n}$ for any normal mode $\cdot\cdot$ [see Eqs. (12-37b) and (12-37c)]:
-
+To understand the procedure, consider the generalized damping value $C_{n}$ for any normal mode "n" see Eqs. (12-37b) and (12-37c):
+要理解该程序,请考虑任意简正模态“n”的广义阻尼系数 $C_{n}$(见方程(12-37b)和(12-37c)):
$$
-C_{n}=\pmb\phi_{n}^{T}\,\mathbf c\,\pmb\phi_{n}=2\xi_{n}\,\omega_{n}\,M_{n}
+C_{n}=\pmb\phi_{n}^{T}\,\mathbf c\,\pmb\phi_{n}=2\xi_{n}\,\omega_{n}\,M_{n}\tag{12-43}
$$
If c in this expression is given by Eq. (12-42), the contribution of term $b$ to the generalized damping value is
-
+如果表达式中的 $c$ 由式(12-42)给出,则项 $b$ 对广义阻尼值的贡献为:
$$
-C_{n b}=\phi_{n}^{T}\,\mathbf{c}_{b}\,\phi_{n}=a_{b}\,\mathbf{m}\,[\mathbf{m}^{-1}\,\mathbf{k}]^{b}\,\phi_{n}
+C_{n b}=\phi_{n}^{T}\,\mathbf{c}_{b}\,\phi_{n}=a_{b}\,\mathbf{m}\,[\mathbf{m}^{-1}\,\mathbf{k}]^{b}\,\phi_{n}\tag{12-44a}
$$
Now if Eq. (11-39) $(k\,\phi_{n}=\omega_{n}^{2}\,m\,\phi_{n})$ is premultiplied on both sides by $\phi_{n}^{T}\,\mathbf{k}\,\mathbf{m}^{-1}$ , the result is
-
+现在,如果将方程(11-39)$(k\,\phi_{n}=\omega_{n}^{2}\,m\,\phi_{n})$ 两边左乘以 $\phi_{n}^{T}\,\mathbf{k}\,\mathbf{m}^{-1}$,则结果为:
$$
\phi_{n}^{T}\,\mathbf{k\,m}^{-1}\,\mathbf{k\,}\phi_{n}=\omega_{n}^{2}\,\phi_{n}^{T}\,\mathbf{k\,}\phi_{n}\equiv\omega_{n}^{4}\,M_{n}
$$
By operations equivalent to this it can be shown that
-
+通过与上述操作等效的方法可以证明:
$$
-\pmb{\phi}_{n}^{T}\,\mathbf{m}\left[\mathbf{m}^{-1}\,\mathbf{k}\right]^{b}\,\pmb{\phi}_{n}=\omega_{n}^{2b}\,M_{n}
+\pmb{\phi}_{n}^{T}\,\mathbf{m}\left[\mathbf{m}^{-1}\,\mathbf{k}\right]^{b}\,\pmb{\phi}_{n}=\omega_{n}^{2b}\,M_{n}\tag{12-45}
$$
and consequently
$$
-C_{n b}=a_{b}\,\omega_{n}^{2b}\,M_{n}
+C_{n b}=a_{b}\,\omega_{n}^{2b}\,M_{n}\tag{12-44b}
$$
On this basis, the generalized damping value associated with any mode $n$ is
-
+在此基础上,与任意模态 $n$ 相关的广义阻尼值为:
$$
C_{n}=\sum_{b}C_{n b}=\sum_{b}a_{b}\;\omega_{n}^{2b}\,M_{n}=2\xi_{n}\,\omega_{n}\,M_{n}
$$
@@ -656,62 +678,64 @@ $$
from which
$$
-\xi_{n}=\frac{1}{2\omega_{n}}\sum_{b}a_{b}\;\omega_{n}^{2b}
+\xi_{n}=\frac{1}{2\omega_{n}}\sum_{b}a_{b}\;\omega_{n}^{2b}\tag{12-46}
$$
Equation (12-46) provides the means for evaluating the constants $a_{b}$ to give the desired damping ratios at any specified number of modal frequencies. As many terms must be included in the series as there are specified modal damping ratios; then the constants are given by the solution of the set of equations, one written for each damping ratio. In principle, the values of $b$ can lie anywhere in the range $-\inftyt$ , the upper limit of the second integral in Eq. (12-67) can be changed from $t$ to $\infty$ without influencing the final result. Therefore, Eq. (12-67) can be expressed in the equivalent form
-
+由于函数 $h_{i j}(t-\tau)$ 在 $\tau>t$ 时等于零,因此式(12-67)中第二个积分的上限可从 $t$ 扩展至 $\infty$,而不会影响最终结果。因此,式(12-67)可表示为等效形式:
$$
{\bf V}_{i j}(i\overline{{{\omega}}})=\operatorname*{lim}_{s\rightarrow\infty}\,\int_{-s}^{s}\,\int_{-s}^{s}\,p_{j}(\tau)\,\,h_{i j}(t-\tau)\,\,\exp(-i\overline{{{\omega}}}t)\,\,d t\,\,d\tau
$$
When a new variable $\theta\equiv t-\tau$ is introduced, this equation becomes
-
+当引入一个新的变量 $\theta \equiv t - \tau$ 时,该方程变为:
$$
\mathbf{V}_{i j}(i\overline{{\omega}})=\operatorname*{lim}_{s\to\infty}\;\int_{-s}^{s}\,p_{j}(\tau)\,\exp(-i\overline{{\omega}}t)\,d\tau\;\int_{-s-\tau}^{s-\tau}\,h_{i j}(\theta)\,\exp(-i\overline{{\omega}}\theta)\,d\theta
$$
-The expanding domain of integration given by this equation is shown in Fig. 12-6a. Since the function $\mathrm{V}_{i j}(i\overline{{\omega}})$ exists only when the integrals
-
+The expanding domain of integration given by this equation is shown in Fig. 12-6a. Since the function $\mathrm{V}_{i j}(i\overline{{\omega}})$ exists only when the integrals are finite,
+该方程所定义的积分域的扩展范围如图 12-6a 所示。由于函数 $\mathrm{V}_{i j}(i\overline{{\omega}})$ **仅在积分收敛时才存在**,
$$
I_{2}\equiv\int_{-\infty}^{\infty}\,\left|p_{j}(\tau)\right|\,d\tau\qquad\qquad I_{3}\equiv\int_{-\infty}^{\infty}\,\left|h_{i j}(\theta)\right|\,d\theta
$$
-
-are finite, which is always the case in practice due to the loadings being of finite duration and the unit-impulse-response function being a decayed function, it is valid to drop $\tau$ from the limits of the second integral in Eq. (12-69), resulting in
-
+which is always the case in practice due to the loadings being of finite duration and the unit-impulse-response function being a decayed function, it is valid to drop $\tau$ from the limits of the second integral in Eq. (12-69), resulting in
+在实际应用中,由于载荷持续时间有限且单位脉冲响应函数为衰减函数,因此可以在方程(12-69)的第二个积分限中去掉 $\tau$,从而得到
$$
\mathbf{V}_{i j}(i\overline{{\omega}})=\left[\operatorname*{lim}_{s\to\infty}\,\int_{-s}^{s}p_{j}(\tau)\,\exp(-i\overline{{\omega}}t)\,d\tau\right]\,\left[\operatorname*{lim}_{s\to\infty}\,\int_{-s}^{s}\,h_{i j}(\theta)\,\exp(-i\overline{{\omega}}\theta)\,d\theta\right]
$$
which changes the expanding domain of integration to that shown in Fig. $12{-}6b$ . Variable $\theta$ can now be changed to $t$ since it is serving only as a dummy time variable. Equation (12-70) then becomes
-
+将积分域扩展至如图 $12{-}6b$ 所示的范围。此时变量 $\theta$ 可替换为 $t$,因为它仅作为虚拟时间变量使用。于是,方程(12-70)变为:
$$
\mathbf{V}_{i j}(i\overline{{\omega}})=\mathbf{P}_{j}(i\overline{{\omega}})\,\int_{-\infty}^{\infty}\,h_{i j}(t)\,\exp(-i\overline{{\omega}}t)\,d t
$$
When it is noted that Eq. (12-65) in its inverse form gives
-
+当注意到方程(12-65)的逆形式给出
$$
{\bf V}_{i j}(i\overline{{\omega}})={\bf H}_{i j}(i\overline{{\omega}})\ {\bf P}_{j}(i\overline{{\omega}})
$$
a comparison of Eqs. (12-71) and (12-72) makes it apparent that
-
+比较方程(12-71)和(12-72)可以明显看出
$$
\mathrm{H}_{i j}\big(i\overline{{\omega}}\big)=\int_{-\infty}^{\infty}\,h_{i j}(t)\,\exp(-i\overline{{\omega}}t)\,d t
$$
@@ -952,6 +990,7 @@ $$
FIGURE 12-6 Expanding domains of integration.
This derivation shows that any unit-impulse-response transfer function $h_{i j}(t)$ and the corresponding complex-frequency-response transfer function $\mathrm{H}_{i j}(i{\overline{{\omega}}})$ are Fourier transform pairs, provided damping is present in the system. This is a requirement for mathematical stability to exist.
+该推导表明,在系统中存在阻尼的情况下,**$h_{i j}(t)$** 和对应的复频域响应传递函数 **$\mathrm{H}_{i j}(i{\overline{{\omega}}})$** 是傅里叶变换对。这是数学稳定性存在的必要条件。
Example E12-5. Show that the complex-frequency-response function given by Eq. (6-52) and the unit-impulse-response function given by Eq. (6- 51) are Fourier transform pairs in accordance with Eqs. (6-53) and (6-54) which correspond to Eqs. (12-73).
@@ -990,89 +1029,95 @@ $$
in which $\omega_{D}\,=\,\omega\,\sqrt{1-\xi^{2}}$ . Note that the first of Eqs. (f) does indeed agree with Eq. (6-51), thus showing the validity of Eqs. (6-53) and (6-54) in this case. Note also that the inverse Fourier transform of $\mathrm{H}(i{\overline{{\omega}}})$ yields the unit-impulse response functions for all values of damping, i.e., for $0\leq\xi<1,\xi>1$ , and $\xi=1$ .
-# 12-8 PRACTICAL PROCEDURE FOR SOLVING COUPLED EQUATIONS OF MOTION
+# 12-8 PRACTICAL PROCEDURE FOR SOLVING COUPLED EQUATIONS OF MOTION **解耦运动方程求解的实用步骤**
+
The solution of coupled sets of equations of motion is carried out most easily in the frequency domain; therefore, this section will be devoted to developing procedures for this approach only. In doing so, consideration will be given to three different sets of equations as expressed in the frequency domain by
+在频域中求解耦合运动方程组的解最为简便;因此,本节将仅针对该方法进行相关步骤的开发。在此过程中,将考虑频域中表达的三种不同方程组
$$
\begin{array}{r l}&{\left[(\mathbf{k}-\overline{{\omega}}^{2}\,\mathbf{m})+i\,\hat{\mathbf{k}}\right]\,\mathbf{V}(i\overline{{\omega}})=\mathbf{P}(i\overline{{\omega}})}\\ &{\left[(\mathbf{k}-\overline{{\omega}}^{2}\,\mathbf{m})+i\left(\overline{{\omega}}\,\mathbf{c}\right)\right]\,\mathbf{V}(i\overline{{\omega}})=\mathbf{P}(i\overline{{\omega}})}\\ &{\left[(\mathbf{K}-\overline{{\omega}}^{2}\,\mathbf{M})+i\left(\overline{{\omega}}\,\mathbf{C}\right)\right]\,\mathbf{Y}(i\overline{{\omega}})=\overline{{\mathbf{P}}}(i\overline{{\omega}})}\end{array}
-$$
-
+$$
in which the complex matrix in the bracket term on the left hand side of each equation is the impedance (or dynamic stiffness) matrix for the complete structural system being represented.
+在每个方程左侧括号中的复杂矩阵是所表示的**完整结构系统**的**阻抗(或动态刚度)**矩阵。
Equation (12-74) represents a complete $N$ -DOF system using the complexstiffness form of damping equivalent to Eq. (3-79) for the SDOF system. Matrix $\hat{\mathbf{k}}$ in this equation is a stiffness matrix for the entire system obtained by assembling individual finite-element stiffness matrices $\hat{\mathbf{k}}^{(m)}$ [superscript $(m)$ denotes element $m$ ] of the form
-
+方程(12-74)描述了一个完整的 **$N$ 自由度系统**,采用了与单自由度系统(SDOF)中方程(3-79)类似的复刚度阻尼形式。该方程中的矩阵 **$\hat{\mathbf{k}}$** 是整个系统的刚度矩阵,由各个有限元刚度矩阵 **$\hat{\mathbf{k}}^{(m)}$** [上标 $(m)$ 表示第 $m$ 个单元] 汇总而成,其形式如下:
$$
\hat{\mathbf{k}}^{(m)}=2\,\xi^{(m)}\,\mathbf{k}^{(m)}
-$$
-
+$$
in which $\mathbf{k}^{\left(m\right)}$ denotes the individual elastic stiffness matrix for finite element $m$ as used in the assembly process to obtain matrix $\mathbf{k}$ for the entire system; and $\xi^{(m)}$ is a damping ratio selected to be appropriate for the material used in finite element $m$ . If the material is the same throughout the system so that the same damping ratio is used for each element, i.e., $\xi^{(1)}=\xi^{(2)}=\cdots=\xi$ , then the overall system matrix $\hat{\mathbf{k}}$ would be proportional to $\mathbf{k}$ as given by ${\hat{\mathbf{k}}}=2\xi\,\mathbf{k}$ . Matrix $\hat{\mathbf{k}}$ would then possess the same orthogonality property as $\mathbf{k}$ . However, when different materials are included in the system, e.g., soil and steel, the finite elements consisting of these materials would be assigned different values of $\xi^{(m)}$ . In this case, the assembled matrix $\hat{\mathbf{k}}$ would not satisfy the orthogonality condition, and modal coupling would be present. Vectors $\mathbf{V}(i\overline{{\omega}})$ and $\mathbf{P}(i{\overline{{\omega}}})$ in Eq. (12-74) are the Fourier transforms of vectors $\mathbf{v}(t)$ and $\mathbf p(t)$ , respectively, and all other quantities are the same as previously defined.
+在其中,$\mathbf{k}^{(m)}$ 表示有限元单元 *m* 在组装过程中用于获得整个系统刚度矩阵 **k** 的单个弹性刚度矩阵;而 $\xi^{(m)}$ 是为有限元单元 *m* 所选的阻尼比,该比例应与所用材料相适配。若系统内材料相同,即每个单元采用相同的阻尼比(即 $\xi^{(1)} = \xi^{(2)} = \cdots = \xi$),则整体系统矩阵 $\hat{\mathbf{k}}$ 将与 **k** 成比例关系,具体表达式为 $\hat{\mathbf{k}} = 2\xi\,\mathbf{k}$。此时,矩阵 $\hat{\mathbf{k}}$ 将保持与 **k** 相同的正交性质。然而,当系统中包含不同材料(例如土壤和钢材)时,由这些材料构成的有限元单元将被分配不同的 $\xi^{(m)}$ 值。这种情况下,组装后的矩阵 $\hat{\mathbf{k}}$ 将不满足正交条件,且会出现模态耦合现象。方程(12-74)中的向量 $\mathbf{V}(i\overline{\omega})$ 和 $\mathbf{P}(i\overline{\omega})$ 分别是向量 $\mathbf{v}(t)$ 和 $\mathbf{p}(t)$ 的傅里叶变换,其余量均与之前定义一致。
Equation (12-75) is the Fourier transform of Eq. (12-60) which represents an $N$ -DOF system having the viscous form of damping. Using the solution procedure developed subsequently in this section, it is not necessary for matrix c to satisfy the orthogonality condition. Therefore, the case of modal coupling through damping can be treated, whether it is of the viscous form or of the complex-stiffness form described above.
+方程(12-75)是方程(12-60)的傅里叶变换,该方程描述的是一个具有**$N$**自由度且带有黏性阻尼形式的系统。通过本节后续发展的求解方法,矩阵 c** 不需要满足正交性条件。因此,**通过阻尼耦合的模态(无论是黏性形式还是上述提到的复刚度形式)均可处理。
Equation (12-76) gives the normal mode equations of motion [Eq. (12-58)] in the frequency domain, in which $\overline{{\mathbf{P}}}(i\overline{{\omega}})$ is the Fourier transform of the generalized (modal) loading vector $P(t)$ which contains components $P_{1}(t),P_{2}(t),\cdot\cdot\cdot,P_{n}(t)$ as defined by Eq. (12-12c), $\mathbf{Y}(i{\overline{{\omega}}})$ is the Fourier transform of the normal coordinate vector $\pmb{Y}(t),\pmb{K}$ and $M$ are the diagonal normal mode stiffness and mass matrices containing elements in accordance with Eqs. (12-12b) and (12-12a), respectively, and $c$ is the normal mode damping matrix having elements as given by Eq. (12-15a). As noted carlier, if the damping matrix c possesses the orthogonality property, matrix $c$ will be of diagonal form; however, if matrix c does not possess the orthogonality property, the modal damping matrix will be full. The analysis procedure developed subsequently can treat this coupled form of matrix without difficulty, however. Note that Eqs. (12- 76) may contain all $N$ normal mode equations or only a smaller specified number representing the lower modes according to the degree of approximation considered acceptable. Reducing the number of equations to be solved does not change the analysis procedure but it does reduce the computational effort involved.
+方程(12-76)给出了简正模态运动方程 [Eq. (12-58)] 在频域中的表达式,其中 $\overline{{\mathbf{P}}}(i\overline{{\omega}})$ 是广义(模态)载荷向量 $P(t)$ 的傅里叶变换,$P(t)$ 包含由方程(12-12c)定义的分量 $P_{1}(t), P_{2}(t), \cdots, P_{n}(t)$;$\mathbf{Y}(i{\overline{{\omega}}})$ 是简正坐标向量 $\pmb{Y}(t)$ 的傅里叶变换;$\pmb{K}$ 和 $M$ 分别是简正模态刚度矩阵和质量矩阵,其元素分别符合方程(12-12b)和(12-12a)的定义;$c$ 是简正模态阻尼矩阵,其元素由方程(12-15a)给出。如前所述,**如果阻尼矩阵 c 具有正交性,则矩阵 c 将为对角形式;否则,模态阻尼矩阵将为满矩阵。** 后续开发的分析方法能够轻松处理这种耦合形式的矩阵。需要注意的是,方程(12-76)可能包含所有 $N$ 个简正模态方程,或者仅包含根据可接受的近似程度指定的较少数量的低阶模态方程。减少需求解的方程数量不会改变分析程序,但会降低计算工作量。
To develop the analysis procedure, let us consider only Eq. (12-74) since the procedure is applied to the other cases [Eqs. (12-75) and (12-76)] in exactly the same way. Equation (12-74) may be written in the abbreviated form:
-
+在开发分析程序时,我们仅考虑 **Eq. (12-74)**,因为其他情况 [Eqs. (12-75) 和 (12-76)] 的处理方式完全相同。方程 (12-74) 可简化表示为:
$$
\mathbf{I}(i\overline{{\omega}})\;\mathbf{V}(i\overline{{\omega}})=\mathbf{P}(i\overline{{\omega}})
$$
-in which the impedance matrix $\mathbf{I}(i\overline{{\omega}})$ is given by the entire bracket matrix on the left hand side. Premultiplying both sides of this equation by the inverse of the impedance
-
-matrix, response vector $\mathbf{V}(i{\overline{{\omega}}})$ can be expressed in the form
-
+in which the impedance matrix $\mathbf{I}(i\overline{{\omega}})$ is given by the entire bracket matrix on the left hand side. Premultiplying both sides of this equation by the inverse of the impedance matrix, response vector $\mathbf{V}(i{\overline{{\omega}}})$ can be expressed in the form
+其中,阻抗矩阵 $\mathbf{I}(i\overline{{\omega}})$ 由等式左侧的**整个括号矩阵**给出。将等式两边左乘以阻抗矩阵的逆矩阵后,**响应向量** $\mathbf{V}(i{\overline{{\omega}}})$ 可表示为如下形式:
$$
\mathbf{V}(i\overline{{\omega}})=\mathbf{I}(i\overline{{\omega}})^{-1}\ \mathbf{P}(i\overline{{\omega}})
$$
which implies that multiplying a complex matrix by its inverse results in the identity matrix, similar to the case involving a real matrix. The inversion procedure is the same as that involving a real matrix with the only difference being that the coefficients involved are complex rather than real. Although computer programs are readily available for carrying out this type of inversion solution, it is impractical for direct use as it involves inverting the $N\times N$ complex impedance matrix for each of the closelyspaced discrete values of $\overline{{\omega}}$ as required in performing the fast Fourier transform (FFT) of loading vector ${\bf p}(t)$ to obtain the vector $\mathbf{P}(i{\overline{{\omega}}})$ ; this approach requires an excessive amount of computer time. The required time can be reduced to a practical level, however, by first solving for the complex-frequency-response transfer functions $\mathrm{H}_{i j}\left(i\overline{{\omega}}\right)$ at a set of widely-spaced discrete values of $\overline{{\omega}}$ , and then using an effective and efficient interpolation procedure to obtain the transfer functions at the intermediate closely-spaced discrete values of $\overline{{\omega}}$ required by the FFT procedure.
+这意味着将一个复数矩阵乘以其逆矩阵会得到单位矩阵,这与实数矩阵的情况类似。求逆的过程与实数矩阵相同,唯一的区别在于系数为复数而非实数。虽然计算机程序可以方便地执行此类求逆操作,但直接使用这种方法并不实际,因为它需要对每一个用于执行加载向量 ${\bf p}(t)$ 的快速傅里叶变换(FFT)以获得向量 $\mathbf{P}(i{\overline{{\omega}}})$ 所需的、密集间隔的 $\overline{{\omega}}$ 的 $N \times N$ 复数阻抗矩阵进行求逆;这种方法需要消耗大量的计算时间。然而,可以通过先计算在一组间隔较宽的 $\overline{{\omega}}$ 离散值下的复频率响应传递函数 $\mathrm{H}_{ij}\left(i\overline{{\omega}}\right)$,再利用有效且高效的插值方法来获得 FFT 过程所需的、中间密集间隔的 $\overline{{\omega}}$ 离散值下的传递函数,从而将所需时间降低到实际可行的水平。
The complex-frequency-response transfer functions $\mathrm{H}_{i j}\left(i\overline{{\omega}}\right)$ are obtained for the widely spaced discrete values of $\overline{{\omega}}$ using Eq. (12-79) consistent with the definition of these functions given previously; that is, using
-
+复频域响应传递函数 $\mathrm{H}_{i j}\left(i\overline{{\omega}}\right)$ 通过 Eq. (12-79) 在广泛分布的离散 $\overline{{\omega}}$ 值上获得,与之前对这些函数的定义一致;也就是说,使用
$$
<\mathrm{H}_{1j}\big(i\overline{{\omega}}\big)\quad\mathrm{H}_{2j}\big(i\overline{{\omega}}\big)\quad\cdot\cdot\cdot\quad\mathrm{H}_{N j}\big(i\overline{{\omega}}\big)>^{T}=\mathbf{I}\big(i\overline{{\omega}}\big)^{-1}\,I_{j}\qquad j=1,2,\cdot\cdot\cdot,N
-$$
-
+$$
in which $I_{j}$ denotes an $N$ -component vector containing all zeros except for the $j$ th component which equals unity. Because these transfer functions are smooth, as indicated in Fig. 12-7, even though they peak at the natural frequencies of the system, interpolation can be used effectively to obtained their complex values at the intermediate closely-spaced discrete values of $\overline{{\omega}}$ . Note that natural frequencies can be obtained, corresponding to the frequencies at the peaks in the transfer functions, without solving the eigenvalue problem. The effective interpolation procedure required to carry out the analysis in this way will be developed in the following Section 12-9.
+在其中,$I_{j}$ 表示一个 $N$ 分量的向量,除了第 $j$ 个分量为 1 外,其余分量均为零。由于这些传递函数如图 12-7 所示是平滑的,尽管它们在系统的固有频率处达到峰值,但仍可有效地通过插值法获取在中间紧密分布的离散 $\overline{\omega}$ 值处的复数值。需要注意的是,固有频率可以通过对应于传递函数峰值处的频率获得,而无需解特征值问题。本节所述的有效插值方法将在第 12-9 节中详细阐述。

FIGURE 12-7 Interpolation of transfer function.
Having obtained all transfer functions $\mathrm{H}_{i j}\left(i\overline{{\omega}}\right)$ using Eq. (12-80) and the interpolation procedure of Section 12-9, the response vector $\mathbf{V}(i\overline{{\omega}})$ is easily obtained by superposition using
-
+获得所有传递函数 $\mathrm{H}_{i j}\left(i\overline{{\omega}}\right)$ 后,通过第 12-9 节所述的插值方法(以及 **Eq. (12-80)**)计算得到,响应向量 $\mathbf{V}(i\overline{{\omega}})$ 可通过叠加法轻松求得。
$$
\mathbf{V}(i\overline{{\omega}})=\mathbf{H}(i\overline{{\omega}})\ \mathbf{P}(i\overline{{\omega}})
$$
in which $\mathbf{H}(i{\overline{{\omega}}})$ is the $N\times N$ complex-frequency-response transfer matrix
-
+其中 $\mathbf{H}(i{\overline{{\omega}}})$ 是 $N \times N$ **复频域响应传递矩阵**
$$
\mathbf{H}(i\overline{{\omega}})=\left[\begin{array}{c c c c}{\mathrm{H}_{11}(i\overline{{\omega}})}&{\mathrm{H}_{12}(i\overline{{\omega}})}&{\cdots\cdot}&{\mathrm{H}_{1N}(i\overline{{\omega}})}\\ {\mathrm{H}_{21}(i\overline{{\omega}})}&{\mathrm{H}_{22}(i\overline{{\omega}})}&{\cdots\cdot}&{\mathrm{H}_{2N}(i\overline{{\omega}})}\\ {\vdots}&{\vdots}&{\vdots}&{\vdots}\\ {\mathrm{H}_{N1}(i\overline{{\omega}})}&{\mathrm{H}_{N2}(i\overline{{\omega}})}&{\cdots\cdot}&{\mathrm{H}_{N N}(i\overline{{\omega}})}\end{array}\right]
$$
obtained for each frequency required in the response analysis. Note that once this transfer matrix has been obtained, the responses of the system to multiple sets of loadings can be obtained very easily by simply Fourier transforming each set by the FFT procedure and then multiplying the resulting vector set in each case by the transfer matrix in accordance with Eq. (12-81). Having vector $\mathbf{V}(i\overline{{\omega}})$ for each set, it can be inverse transformed by the FFT procedure to obtain the corresponding set of displacements in vector $\mathbf{v}(t)$ .
+对于响应分析中每个频率所需的数据,一旦获得该**传递矩阵**,系统在多组载荷作用下的响应可以通过以下方式快速获得: 对每组载荷进行快速傅里叶变换(FFT),然后将变换后的向量集分别与传递矩阵相乘(按 Eq. (12-81) 执行)。获得每组的向量 **$\mathbf{V}(i\overline{{\omega}})$** 后,可通过反快速傅里叶变换(FFT)得到对应的位移向量 **$\mathbf{v}(t)$**。
It is evident that by Fourier transforming each element $\mathrm{H}_{i j}\left(i\overline{{\omega}}\right)$ in Eq. (12-82), one could easily obtain the corresponding unit-impulse-response function $h_{i j}(t)$ as shown by the second of Eqs. (12-73). This is of academic interest only, however, as one would not use the convolution integral formulation given by Eq. (12-63) to evaluate the response of a complicated structural system.
+显然,通过对方程(12-82)中每个元素 $\mathrm{H}_{i j}\left(i\overline{{\omega}}\right)$ 进行傅里叶变换,可以很容易地得到对应的单位脉冲响应函数 $h_{i j}(t)$,如方程(12-73)中的第二式所示。然而,**这在学术上仅具有理论意义,因为在评估复杂结构系统的响应时,不会使用方程(12-63)中给出的卷积积分公式。**
+
+# 12-9 INTERPOLATION PROCEDURE FOR GENERATION OF TRANSFER FUNCTIONS **插值程序用于传递函数的生成**
-# 12-9 INTERPOLATION PROCEDURE FOR GENERATION OF TRANSFER FUNCTIONS
Because both the real and imaginary parts of a complex-frequency-response transfer function are smooth functions of $\overline{{\omega}}$ , interpolation of their values at equal intervals $\triangle\overline{{\omega}}$ over relatively wide frequency bands can be done effectively using an interpolation function corresponding to the forms of the complex-frequency-response transfer functions for a 2-DOF system having the complex-stiffness uncoupled-type of damping. The frequency-domain normal mode equations of motion for such a system are
-
+由于复频域传递函数的实部和虚部都是关于 $\overline{{\omega}}$ 的平滑函数,因此在相对宽广的频率范围内,以等间隔 $\triangle\overline{{\omega}}$ 对其值进行插值可以有效地使用与具有复数刚度解耦型阻尼的二自由度系统的复频域传递函数形式相对应的插值函数。此类系统的频域简正模态运动方程为:
$$
\begin{array}{r}{\left[\left(K_{1}-\overline{{\omega}}^{2}\,M_{1}\right)+i\left(2\xi\,K_{1}\right)\right]\,\Upsilon_{1}(i\overline{{\omega}})=\phi_{1}^{T}\,\,{\bf P}(i\overline{{\omega}})}\\ {\left[\left(K_{2}-\overline{{\omega}}^{2}\,M_{2}\right)+i\left(2\xi\,K_{2}\right)\right]\,\Upsilon_{2}(i\overline{{\omega}})=\phi_{2}^{T}\,{\bf P}(i\overline{{\omega}})}\end{array}
$$
in which vector $\mathbf{P}(i{\overline{{\omega}}})$ is the Fourier transform of loading vector ${\bf p}(t)$ .
-
+在其中,向量 $\mathbf{P}(i{\overline{{\omega}}})$ 是载荷向量 ${\bf p}(t)$ 的傅里叶变换。
Let us now generate a single complex-frequency-response transfer function, e.g., $\mathrm{H}_{11}(i\overline{{\omega}})$ , which is the transfer function between loading $p_{1}(t)$ and displacement $v_{1}(t)$ . In the frequency domain $v_{1}(t)$ is given in terms of the normal mode coordinates by
-
+现在我们生成一个复杂频率响应传递函数,例如 $\mathrm{H}_{11}(i\overline{{\omega}})$ ,即加载 $p_{1}(t)$ 与位移 $v_{1}(t)$ 之间的传递函数。在频域中,$v_{1}(t)$ 可用简正模态坐标表示为:
$$
\mathbf{V}_{1}(i\overline{{\omega}})=\phi_{11}\,\mathbf{Y}_{1}(i\overline{{\omega}})+\phi_{12}\mathbf{Y}_{2}(i\overline{{\omega}})
$$
To generate $\mathrm{H_{11}}$ , let $\mathbf{P}(i\overline{{\omega}})=<1\,\mathbf{\epsilon}\,0>^{T}$ giving
-
+要生成 $\mathrm{H_{11}}$ ,令 $\mathbf{P}(i\overline{\omega}) = <1\,\mathbf{\epsilon}\,0>^{T}$ ,则得到
$$
\phi_{1}^{T}\,\mathbf{P}(i\overline{{\omega}})=<\phi_{11}\quad\phi_{21}><1\ \ 0>^{T}=\phi_{11}
$$
@@ -1084,29 +1129,43 @@ $$
$$
in which case, substituting the resulting values of $\mathrm{Y}_{1}(i\overline{{\omega}})$ and $\mathrm{Y}_{2}(i\overline{{\omega}})$ given by Eqs. (12-83) and (12-84), respectively, into Eq. (12-85) gives ${\bf V}_{1}(i\overline{{\omega}})\,=\,{\bf H}_{11}(i\overline{{\omega}})$ . Taking this action, one obtains
-
+在这种情况下,将方程(12-83)和(12-84)分别给出的 $\mathrm{Y}_{1}(i\overline{{\omega}})$ 和 $\mathrm{Y}_{2}(i\overline{{\omega}})$ 的结果值代入方程(12-85),可得 ${\bf V}_{1}(i\overline{{\omega}})\,=\,{\bf H}_{11}(i\overline{{\omega}})$。经过这一步骤后,可以得到
$$
\mathrm{H}_{11}(i\overline{{\omega}})=\frac{\phi_{11}^{2}}{\left[\left(K_{1}-\overline{{\omega}}^{2}\,M_{1}\right)+i\left(2\xi_{1}\,K_{1}\right)\right]}+\frac{\phi_{12}^{2}}{\left[\left(K_{2}-\overline{{\omega}}^{2}\,M_{2}\right)+i\left(2\xi_{2}\,K_{2}\right)\right]}
$$
By operating on this equation, it can be put in the equivalent single-fraction form
-
+通过对该方程进行运算,可以将其转化为等效的单分式形式。
$$
\mathrm{H}_{11}(i\overline{{\omega}})=\frac{A\,\overline{{\omega}}^{2}+B}{\overline{{\omega}}^{4}+C\,\overline{{\omega}}^{2}+D}
$$
in which $A$ is a real constant and $B,C$ , and $D$ are complex constants, all expressed in terms of the known quantities in Eq. (12-86). The forms of these expressions are of no interest, however, as only the functional form of $\mathrm{H}_{11}(i\overline{{\omega}})$ with respect to $\overline{{\omega}}$ is needed. Repeating the above development, one finds that each of the other three transfer functions $\mathrm{H}_{12}(i\overline{{\omega}})$ , $\mathrm{H}_{\mathrm{21}}(i\overline{{\omega}})$ , and $\mathrm{H}_{22}(i\overline{{\omega}})$ has the same form as that given by Eq. (12-87).
+在其中,$A$ 是一个实数常数,$B$、$C$ 和 $D$ 是复数常数,它们均以方程(12-86)中的已知量表示。不过,这些表达式的具体形式并不重要,因为仅需关注 $\mathrm{H}_{11}(i\overline{{\omega}})$ 关于 $\overline{{\omega}}$ 的函数形式。通过重复上述推导过程,可以发现其他三个传递函数 $\mathrm{H}_{12}(i\overline{{\omega}})$、$\mathrm{H}_{21}(i\overline{{\omega}})$ 和 $\mathrm{H}_{22}(i\overline{{\omega}})$ 的形式与方程(12-87)中给出的形式完全相同。
To use Eq. (12-87) purely as an interpolation function for any transfer function $\mathbf{H}_{i j}(i\overline{{\omega}})$ of a complex $N$ -DOF system, express it in the discrete form
-
+将复杂 $N$ 自由度系统中任一传递函数 $\mathbf{H}_{i j}(i\overline{{\omega}})$ 的Eq. (12-87) 纯粹作为插值函数使用时,应将其表示为离散形式。
$$
\mathbf{H}_{i j}(i\overline{{\omega}}_{m})=\frac{A_{m n}\,\overline{{\omega}}_{m}^{2}+B_{m n}}{\overline{{\omega}}_{m}^{4}+C_{m n}\,\overline{{\omega}}_{m}^{2}+D_{m n}}\qquad\bigl(n-\frac{3}{2}\,q\bigr)