vault backup: 2025-02-28 16:17:23
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{
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"nodes":[
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{"id":"b698e88ca5fb9c51","type":"text","text":"状态指标：\n推进OKR的时候也要关注这些事情，它们是完成OKR的保障。\n\n\n","x":-96,"y":80,"width":456,"height":347},
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{"id":"58be7961ae7275a7","type":"text","text":"# 计划\n这周要做的3~5件重要的事情，这些事情能有效推进实现OKR。\n\nP1 必须做。P2 应该做\n\nP1 多体原理学习 YouTube课程\nP1 根据HEROWind数据结构更新多体模块结构体\nP1 公共模块整理与探讨\nP1 气动模块联合调试，跑通\nP1 多体动力学节点细化\n","x":-620,"y":-307,"width":450,"height":347},
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{"id":"2b068bfe5df15a72","type":"text","text":"# 目标：多体动力学模块完善\n### 每周盘点一下它们\n\n\n关键结果：建模原理、建模方法掌握 （5/10）\n\n关键结果：对标Bladed模块完成 （5/10）\n\n关键结果：风机多体动力学文献调研情况完成 （5/10）","x":-96,"y":-307,"width":456,"height":347},
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{"id":"b698e88ca5fb9c51","type":"text","text":"状态指标：\n推进OKR的时候也要关注这些事情，它们是完成OKR的保障。\n\n\n效率状态 green","x":-96,"y":80,"width":456,"height":347},
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{"id":"58be7961ae7275a7","type":"text","text":"# 计划\n这周要做的3~5件重要的事情，这些事情能有效推进实现OKR。\n\nP1 必须做。P2 应该做\n\nP1 多体原理学习 YouTube课程 ing\nP1 公共模块整理与探讨 已有初步方案\nP1 气动模块联合调试，跑通 no\nP1 梳理Steady Operational Load计算条件，方法及输出结果，确定技术路线\nP1 专利答通一稿\n","x":-620,"y":-307,"width":450,"height":347},
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{"id":"2b068bfe5df15a72","type":"text","text":"# 目标：多体动力学模块完善\n### 每周盘点一下它们\n\n\n关键结果：建模原理、建模方法掌握 （6/10）\n\n关键结果：对标Bladed模块完成 （6/10）\n\n关键结果：风机多体动力学文献调研情况完成 （5/10）","x":-96,"y":-307,"width":456,"height":347},
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{"id":"01ee5c157d0deeae","type":"text","text":"# 推进计划\n未来四周计划推进的重要事情\n\n文献调研启动\n\n建模重新推导\n\n\n","x":-620,"y":80,"width":456,"height":347}
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],
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"edges":[]
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BIN
工作总结/25年多体月度进展/25年多体月度进展.xlsx
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工作总结/25年多体月度进展/25年多体月度进展.xlsx
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工作总结/周报/周报66-郭翼泽.docx
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工作总结/月报/25年2月团队员工考核表-郭翼泽.docx
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工作总结/月报/25年2月团队员工考核表-郭翼泽.docx
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sympy as sm\n",
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"import sympy.physics.mechanics as me\n",
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"me.init_vprinting()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"theta, beta, alpha, l = me.dynamicsymbols('theta, beta, alpha, l')\n",
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"A, B, C, D = sm.symbols('A, B, C, D', cls=me.ReferenceFrame)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"B.orient_axis(A, theta, A.z)\n",
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"C.orient_axis(B, beta, -B.x)\n",
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"D.orient_axis(C, alpha, C.z)\n",
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"B.dcm(A)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"r = l *D.x\n",
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"r"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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File diff suppressed because one or more lines are too long
@ -4,3 +4,23 @@ r = l dx
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A ^ p r/ p theta
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partial derivative of r when observed from reference frame A with respect to theta
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p r/ p theta is meaningless if no frame is given!
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If theta, beta, alpah, l are all themselves functions of time
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-> theta(t), beta(t), alpha(t), l(t), time t is the single variable
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r(t) = a1(t)ax + a2(t)ay + a3(t)az
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A^ d r / dt = da1 / dt * ax + ...
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use dot notation
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when the measure numbers are expressions containing implict functions of time, eg theta(t), the chain role can be used to calculate the derivative.
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A ^ dr /dt = A ^ (p r / p theta) * (d theta / dt) + A ^ (p r / p beta) * (d beta / dt) + ...
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if t is explict in expressions 最后要加上 A ^ (p r / p t)
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Second (and higher) derivatives
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82
补课/多体动力学/06_Vector_differentiation.ipynb
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82
补课/多体动力学/06_Vector_differentiation.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sympy as sm\n",
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"import sympy.physics.mechanics as me\n",
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"me.init_vprinting()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"theta, beta, alpha, l = me.dynamicsymbols('theta, beta, alpha, l')\n",
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"A, B, C, D = sm.symbols('A, B, C, D', cls=me.ReferenceFrame)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"B.orient_axis(A, theta, A.z)\n",
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"C.orient_axis(B, beta, -B.x)\n",
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"D.orient_axis(C, alpha, C.z)\n",
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"B.dcm(A)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"r = l *D.x\n",
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"r"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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32
补课/多体动力学/06_Vector_differentiation.py
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32
补课/多体动力学/06_Vector_differentiation.py
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import sympy as sm
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import sympy.physics.mechanics as me
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me.init_vprinting()
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theta, beta, alpha, l = me.dynamicsymbols('theta, beta, alpha, l')
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A, B, C, D = sm.symbols('A, B, C, D', cls=me.ReferenceFrame)
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B.orient_axis(A, theta, A.z)
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C.orient_axis(B, beta, -B.x)
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D.orient_axis(C, alpha, C.z)
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r = l *D.x
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print(r)
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print(r.express(C))
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print(r.express(B))
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print(r.express(A))
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print(r.dot(C.x).diff(alpha))
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print(r.dot(C.y).diff(alpha))
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r_alpha_C = r.dot(C.x).diff(alpha) * C.x + r.dot(C.y).diff(alpha) * C.y
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print(r_alpha_C)
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print(r.diff(alpha, C).express(C))
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t = me.dynamicsymbols._t
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print(theta.diff(t))
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