{"id":352,"date":"2025-05-25T17:42:03","date_gmt":"2025-05-25T09:42:03","guid":{"rendered":"http:\/\/www.structurevspoem.com\/?p=352"},"modified":"2025-05-25T20:18:22","modified_gmt":"2025-05-25T12:18:22","slug":"abaqus%e6%a8%a1%e6%8b%9f%e5%89%aa%e5%8a%9b%e5%a2%99%e6%bb%9e%e5%9b%9e%e6%9b%b2%e7%ba%bf%e3%80%90python%e6%ba%90%e7%a0%81%e3%80%91abaqus-simulation-of-shear-wall-hysteretic-curves-python","status":"publish","type":"post","link":"http:\/\/www.structurevspoem.com\/?p=352","title":{"rendered":"Abaqus\u6a21\u62df\u526a\u529b\u5899\u6ede\u56de\u66f2\u7ebf\u3010python\u6e90\u7801\u3011Abaqus Simulation of Shear Wall Hysteretic Curves [Python]"},"content":{"rendered":"
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1 \u5947\u602a\u7684\u73b0\u8c61Strange Phenomenon<\/h4>\n

\u4eca\u5929\u91c7\u7528Abaqus\u505a\u4e00\u7247\u526a\u529b\u5899\u6784\u4ef6\u9759\u529b\u5f80\u590d\u63a8\u8986\u8bd5\u9a8c\u7684\u6ede\u56de\u66f2\u7ebf\u62df\u5408\uff0c\u5206\u522b\u91c7\u7528\u58f3\u5143\u548c\u5b9e\u4f53\u5355\u5143\uff0c\u94a2\u7b4b\u91c7\u7528Truss\u5355\u5143\uff0c\u94a2\u7b4b\u6750\u6599\u5c5e\u6027\u90fd\u91c7\u7528\u65b9\u81ea\u864e\u8001\u5e08\u7684\u5b50\u7a0b\u5e8f\u3002\u4e00\u65b9\u9762\u662f\u9a8c\u8bc1\u53c2\u6570\u7684\u53d6\u503c\uff0c\u53e6\u4e00\u65b9\u9762\u662f\u4e3a\u4e86\u66f4\u6e05\u695a\u5730\u4e86\u89e3ABAQUS\u5404\u7c7b\u5355\u5143\u7684\u5c40\u9650\u6027\u3002\u6b63\u662f\u56e0\u4e3aAbaqus\u7684\u4e8c\u6b21\u5f00\u53d1\u80fd\u529b\u592a\u5f3a\uff0c\u8ba9abaqus\u6709\u4e86\u66f4\u591a\u53ef\u80fd\u6027\uff0c\u4e0e\u8bd5\u9a8c\u62df\u5408\u4e5f\u9a8c\u8bc1\u4e86\u53c2\u6570\u53d6\u503c\u7684\u53ef\u9760\u6027\u3002<\/p>\n

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\u65b9\u8001\u5e08\u662f\u65e0\u79c1\u7684\uff0c\u5176\u5b50\u7a0b\u5e8f\u3001\u8bba\u6587\u4ee5\u53ca\u8bba\u6587\u4e2d\u7684\u7b97\u4f8b\uff0c\u4ee5\u53ca\u5982\u4f55\u5e94\u7528ABAQUS\u8fdb\u884c\u6a21\u62df\u7684\u89c6\u9891\u90fd\u6709\u5b8c\u6574\u7684\u4ecb\u7ecd\uff0c\u5927\u5bb6\u53ef\u4ee5\u79fb\u6b65\u5230\u5176\u535a\u5ba2\u81ea\u53d6\uff0c\u5176\u5b50\u7a0b\u5e8f\u76ee\u524d\u5df2\u7ecf\u66f4\u65b0\u52302021\u7248\u672c\u3002\u7f51\u7ad9\u8fde\u63a5\uff1ahttps:\/\/www.cnblogs.com\/dark-f\/p\/18283787<\/a><\/p>\n

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2 Python\u811a\u672c\u5efa\u7acb\u8bd5\u9a8c\u6a21\u578b<\/h4>\n

\u4eca\u5929\u7684\u4f8b\u5b50\u4f9d\u7136\u8fd8\u662f\u7f51\u7edc\u4e0a\u7684\u8bd5\u9a8c\u6570\u636e\uff0c\u7f51\u5740: http:\/\/www.luxinzheng.net\/download\/OpenSEES\/Examples_of_NLDKGQ_element.htm\uff0c\u8bd5\u9a8c\u56fe\u7247\u6765\u81ea\u89c1\u6587\u732e[1]\uff0c\u5728\u6b64\u8868\u793a\u611f\u8c22\u3002\u5bf9\u4e8e\u79d1\u7814\u5de5\u4f5c\u8005\uff0c\u9700\u8981\u5efa\u8bae\u4e0b\uff0c\u5982\u679c\u662f\u8bd5\u9a8c\u63cf\u8ff0\u4e00\u5b9a\u8981\u628a\u6784\u4ef6\u7684\u8be6\u7ec6\u4fe1\u606f\u53ca\u52a0\u8f7d\u7684\u8377\u8f7d\u5199\u6e05\u695a\u3002\u6bd4\u5982\u8fd9\u7247\u526a\u529b\u5899\u7684\u9759\u529b\u5f80\u590d\u63a8\u8986\uff0c\u5176\u8bd5\u4ef6\u4fe1\u606f\u5982\u4e0b\u56fe<\/a>\u3002<\/p>\n

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\u52a0\u8f7d\u5386\u7a0b\u5982\u4e0b\u56fe\uff0c\u5c3d\u91cf\u7528\u66f2\u7ebf\u6216\u6570\u636e\u8868\u683c\u8868\u793a\uff0c\u8fd9\u6837\u50cf\u6211\u8fd9\u6837\u559c\u6b22\u6a21\u62df\u7684\u4eba\u5c31\u80fd\u6839\u636e\u4f60\u7684\u6587\u732e\u6a21\u62df\u51fa\u6765\u7ed3\u679c\u4e86\uff0c\u8fd9\u6837\u4f60\u7684\u6587\u7ae0\u88ab\u5f15\u7528\u7684\u51e0\u7387\u5c31\u5927\u5927\u589e\u52a0\u4e86\u3002<\/p>\n

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\u6839\u636ePython\u9a71\u52a8Abaqus\u5b9e\u4f53\u6709\u9650\u5143\u5efa\u6a21[\u9644\u6e90\u7801]<\/a>\u7684\u601d\u8def\u5efa\u7acb\u5b9e\u4f53\u6a21\u578b\u5982\u4e0b\uff1a<\/p>\n\n\n\n\n\n
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# -*- coding: mbcs -*-\n# author:  idealzeng@qq.com  from capol\n# date: 2021\/12\/31\nfrom abaqus import *\nfrom abaqusConstants import *\nimport section\nimport regionToolset\nimport displayGroupMdbToolset as dgm\nimport part\nimport material\nimport assembly\nimport step\nimport interaction\nimport load\nimport mesh\nimport optimization\nimport job\nimport sketch\nimport visualization\nimport xyPlot\nimport displayGroupOdbToolset as dgo\nimport connectorBehavior\ns = mdb.models['Model-1'].ConstrainedSketch(name='__profile__', \n    sheetSize=200.0)\ng, v, d, c = s.geometry, s.vertices, s.dimensions, s.constraints\ns.setPrimaryObject(option=STANDALONE)\ns.unsetPrimaryObject()\ndel mdb.models['Model-1'].sketches['__profile__']\ns1 = mdb.models['Model-1'].ConstrainedSketch(name='__profile__', \n    sheetSize=2000.0)\ng, v, d, c = s1.geometry, s1.vertices, s1.dimensions, s1.constraints\ns1.setPrimaryObject(option=STANDALONE)\ns1.rectangle(point1=(-500.0, 62.5), point2=(500.0, -62.5))\np = mdb.models['Model-1'].Part(name='SW1C', dimensionality=THREE_D, \n    type=DEFORMABLE_BODY)\np = mdb.models['Model-1'].parts['SW1C']\np.BaseSolidExtrude(sketch=s1, depth=2000.0)\ns1.unsetPrimaryObject()\np = mdb.models['Model-1'].parts['SW1C']\nsession.viewports['Viewport: 1'].setValues(displayedObject=p)\ndel mdb.models['Model-1'].sketches['__profile__']\ns = mdb.models['Model-1'].ConstrainedSketch(name='__profile__', \n    sheetSize=2000.0)\ng, v, d, c = s.geometry, s.vertices, s.dimensions, s.constraints\ns.setPrimaryObject(option=STANDALONE)\ns.Line(point1=(-999.0, 0.0), point2=(999.0, 0.0))\ns.HorizontalConstraint(entity=g[2], addUndoState=False)\np = mdb.models['Model-1'].Part(name='ZONGJIN', dimensionality=THREE_D, \n    type=DEFORMABLE_BODY)\np = mdb.models['Model-1'].parts['ZONGJIN']\np.BaseWire(sketch=s)\ns.unsetPrimaryObject()\np = mdb.models['Model-1'].parts['ZONGJIN']\nsession.viewports['Viewport: 1'].setValues(displayedObject=p)\ndel mdb.models['Model-1'].sketches['__profile__']\nsession.viewports['Viewport: 1'].view.setValues(nearPlane=3786.36, \n    farPlane=4205.64, width=2719.66, height=1553.19, viewOffsetX=152.789, \n    viewOffsetY=20.0883)\ns1 = mdb.models['Model-1'].ConstrainedSketch(name='__profile__', \n    sheetSize=2000.0)\ng, v, d, c = s1.geometry, s1.vertices, s1.dimensions, s1.constraints\ns1.setPrimaryObject(option=STANDALONE)\ns1.rectangle(point1=(-485.0, 50.0), point2=(485.0, -50.0))\np = mdb.models['Model-1'].Part(name='GUJIN', dimensionality=THREE_D, \n    type=DEFORMABLE_BODY)\np = mdb.models['Model-1'].parts['GUJIN']\np.BaseWire(sketch=s1)\ns1.unsetPrimaryObject()\np = mdb.models['Model-1'].parts['GUJIN']\nsession.viewports['Viewport: 1'].setValues(displayedObject=p)\ndel mdb.models['Model-1'].sketches['__profile__']\na = mdb.models['Model-1'].rootAssembly\nsession.viewports['Viewport: 1'].setValues(displayedObject=a)\nsession.viewports['Viewport: 1'].assemblyDisplay.setValues(\n    optimizationTasks=OFF, geometricRestrictions=OFF, stopConditions=OFF)\na = mdb.models['Model-1'].rootAssembly\na.DatumCsysByDefault(CARTESIAN)\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-1', part=p, dependent=ON)\np = mdb.models['Model-1'].parts['SW1C']\na.Instance(name='SW1C-1', part=p, dependent=ON)\np = mdb.models['Model-1'].parts['GUJIN']\nsession.viewports['Viewport: 1'].setValues(displayedObject=p)\ndel mdb.models['Model-1'].parts['GUJIN']\np = mdb.models['Model-1'].parts['SW1C']\nsession.viewports['Viewport: 1'].setValues(displayedObject=p)\ns = mdb.models['Model-1'].ConstrainedSketch(name='__profile__', \n    sheetSize=2000.0)\ng, v, d, c = s.geometry, s.vertices, s.dimensions, s.constraints\ns.setPrimaryObject(option=STANDALONE)\ns.unsetPrimaryObject()\ndel mdb.models['Model-1'].sketches['__profile__']\ns1 = mdb.models['Model-1'].ConstrainedSketch(name='__profile__', \n    sheetSize=2000.0)\ng, v, d, c = s1.geometry, s1.vertices, s1.dimensions, s1.constraints\ns1.setPrimaryObject(option=STANDALONE)\ns1.rectangle(point1=(-485.0, 50.0), point2=(-300.0, -50.0))\ns1.rectangle(point1=(300.0, 50.0), point2=(485.0, -50.0))\ns1.Line(point1=(-300.0, 50.0), point2=(300.0, 50.0))\ns1.HorizontalConstraint(entity=g[10], addUndoState=False)\ns1.PerpendicularConstraint(entity1=g[4], entity2=g[10], addUndoState=False)\ns1.Line(point1=(-300.0, -50.0), point2=(300.0, -50.0))\ns1.HorizontalConstraint(entity=g[11], addUndoState=False)\ns1.ParallelConstraint(entity1=g[3], entity2=g[11], addUndoState=False)\np = mdb.models['Model-1'].Part(name='GUJIN', dimensionality=THREE_D, \n    type=DEFORMABLE_BODY)\np = mdb.models['Model-1'].parts['GUJIN']\np.BaseWire(sketch=s1)\ns1.unsetPrimaryObject()\np = mdb.models['Model-1'].parts['GUJIN']\nsession.viewports['Viewport: 1'].setValues(displayedObject=p)\ndel mdb.models['Model-1'].sketches['__profile__']\na = mdb.models['Model-1'].rootAssembly\na.regenerate()\na = mdb.models['Model-1'].rootAssembly\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-1', ), vector=(0.0, 0.0, 80.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-2', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-2', ), vector=(0.0, 0.0, 160.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-3', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-3', ), vector=(0.0, 0.0, 240.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-4', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-4', ), vector=(0.0, 0.0, 320.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-5', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-5', ), vector=(0.0, 0.0, 400.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-6', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-6', ), vector=(0.0, 0.0, 480.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-7', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-7', ), vector=(0.0, 0.0, 560.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-8', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-8', ), vector=(0.0, 0.0, 640.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-9', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-9', ), vector=(0.0, 0.0, 720.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-10', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-10', ), vector=(0.0, 0.0, 800.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-11', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-11', ), vector=(0.0, 0.0, 880.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-12', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-12', ), vector=(0.0, 0.0, 960.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-13', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-13', ), vector=(0.0, 0.0, 1040.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-14', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-14', ), vector=(0.0, 0.0, 1120.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-15', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-15', ), vector=(0.0, 0.0, 1200.0))\n\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-16', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-16', ), vector=(0.0, 0.0, 1280.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-17', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-17', ), vector=(0.0, 0.0, 1360.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-18', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-18', ), vector=(0.0, 0.0, 1440.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-19', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-19', ), vector=(0.0, 0.0, 1520.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-20', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-20', ), vector=(0.0, 0.0, 1600.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-21', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-21', ), vector=(0.0, 0.0, 1680.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-22', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-22', ), vector=(0.0, 0.0, 1760.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-23', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-23', ), vector=(0.0, 0.0, 1840.0))\na = mdb.models['Model-1'].rootAssembly\np = mdb.models['Model-1'].parts['GUJIN']\na.Instance(name='GUJIN-24', part=p, dependent=ON)\na = mdb.models['Model-1'].rootAssembly\na.translate(instanceList=('GUJIN-24', ), vector=(0.0, 0.0, 1920.0))\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-1', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-1', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-1', ), \n    vector=(-485.0, 50.0,1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-2', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-2', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-2', ), \n    vector=(-485.0, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-3', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-3', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-3', ), \n    vector=(-385.0, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-4', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-4', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-4', ), \n    vector=(-385.0, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-5', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-5', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-5', ), \n    vector=(-300.0, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-6', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-6', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-6', ), \n    vector=(-300.0, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-7', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-7', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-7', ), \n    vector=(-240.0, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-8', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-8', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-8', ), \n    vector=(-240.0, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-9', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-9', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-9', ), \n    vector=(-120.0, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-10', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-10', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-10', ), \n    vector=(-120.0, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-11', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-11', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-11', ), \n    vector=(0, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-12', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-12', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-12', ), \n    vector=(0, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-13', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-13', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-13', ), \n    vector=(120, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-14', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-14', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-14', ), \n    vector=(120, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-15', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-15', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-15', ), \n    vector=(240, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-16', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-16', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-16', ), \n    vector=(240, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-17', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-17', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-17', ), \n    vector=(300, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-18', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-18', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-18', ), \n    vector=(300, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-19', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-19', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-19', ), \n    vector=(385, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-20', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-20', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-20', ), \n    vector=(385, -50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-21', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-21', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-21', ), \n    vector=(485, 50.0, 1000))\n\nmdb.models['Model-1'].rootAssembly.Instance(dependent=ON, name='ZONGJIN-22', \n    part=mdb.models['Model-1'].parts['ZONGJIN'])\nmdb.models['Model-1'].rootAssembly.rotate(angle=-90.0, axisDirection=(0.0, \n    10.0, 0.0), axisPoint=(0.0, 0.0, 0.0), instanceList=('ZONGJIN-22', ))\nmdb.models['Model-1'].rootAssembly.translate(instanceList=('ZONGJIN-22', ), \n    vector=(485, -50.0, 1000)) <\/code><\/pre>\n
\u4ee5\u4e0a\u4ee3\u7801\u8fd0\u884c\u6548\u679c\u5982\u4e0b\uff1a<\/p>\n
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\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u5efa\u6a21\u811a\u672c\u8fd0\u884c\u6548\u679c<\/em><\/strong><\/center>\n
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3 \u6df7\u51dd\u571f\u635f\u4f24\u5851\u6027\u6a21\u578b\u53c2\u6570\u4e0e\u94a2\u7b4b\u6750\u6599\u7b49<\/h4>\n
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(1) \u6df7\u51dd\u571f\u62c9\u5e94\u529b\u4e0a\u5347\u6bb5\u53d6\u76f4\u7ebf\uff0c\u4e0b\u964d\u6bb5\u9009\u7528\u6211\u56fd\u6df7\u51dd\u571f\u89c4\u8303\u4e2d\u7684\u516c\u5f0f\u3002<\/p>\n
(2) \u6df7\u51dd\u571f\u53d7\u538b\u66f2\u7ebf\u5efa\u8bae\u53d6\u6211\u56fd\u89c4\u8303\u4e2d\u7684\u516c\u5f0f\uff0c\u4f46\u03b50\u5efa\u8bae\u53d6\u6b27\u76df\u89c4\u8303\u89c4\u5b9a\u7684\u6570\u503c\uff0c\u5e76\u53ef\u4ee5\u5c06\u5f39\u6027\u6bb5\u53d6\u5230\u6df7\u51dd\u571f\u5f3a\u5ea6\u76840.4 \u500d\u3002\u6df7\u51dd\u571f\u6cca\u677e\u6bd4\u53d60.16\u3002<\/p>\n
(3) \u6df7\u51dd\u571f\u53d7\u538b\u66f2\u7ebfABAQUS \u6750\u6599\u8f93\u5165\u65f6\u7684\u622a\u65ad\u5e94\u53d8\u5efa\u8bae\u53d6\u57283\u03b50 \u3002<\/p>\n
( 4) \u6df7\u51dd\u571f\u635f\u4f24\u53c2\u6570\u5efa\u8bae\u6309\u7167d=1-\u03c3\/fc\u8ba1\u7b97\uff0c\u5e76\u4e14\u53d6\u503c\u52300.95 \u4ee5\u4e0a\u3002<\/p>\n
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\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u53d7\u538b\u635f\u4f24\u672c\u6784\u66f2\u7ebf<\/em><\/strong><\/center>\n
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\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u53d7\u62c9\u672c\u6784\u66f2\u7ebf<\/em><\/strong><\/center>\n
\u53c2\u8003\u6587\u732e[3]\uff0c\u94a2\u7b4b\u91c7\u7528\u65b9\u8001\u5e08\u7684\u5b50\u7a0b\u5e8fcs-2021-8-2.obj\uff0c\u8c03\u7528\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n
Vecchio\u94a2\u7b4b\u6a21\u578b\uff0c\u8c03\u7528\u65b9\u5f0f\uff1aMATERIAL=BAR_V##\uff08##\u53ef\u4ee5\u662f\u4efb\u610f\u5b57\u7b26\uff09<\/strong><\/p>\n
\u6587\u732e[3]\u7684\u94a2\u7b4b\u6ede\u56de\u6a21\u578b\u5982\u4e0b\uff1a<\/p>\n
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\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u8003\u8651\u5c48\u66f2\u7684Vecchio\u94a2\u7b4b\u6a21\u578b<\/em><\/strong><\/center>\n
\u5176\u4e2d\u6c34\u5e73\u7b4b\u53ef\u4ee5\u7b80\u5316\u4e00\u70b9\uff0c\u91c7\u7528\u7406\u60f3\u5f39\u5851\u6027\u5373\u53ef\u3002\u4f46\u5b9e\u4f53\u7684\u7ed3\u679c\u4f9d\u7136\u4e0d\u662f\u7279\u522b\u597d\u3002\u6700\u7ec8\u5b9e\u4f53\u7684\u6ede\u56de\u66f2\u7ebf\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n
\n  
\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u5b9e\u4f53\u5143\u7ed3\u679c\u4e0e\u8bd5\u9a8c\u7ed3\u679c\u5bf9\u6bd4<\/em><\/strong><\/center>\n
4 \u58f3\u5143\u6a21\u578b<\/h4>\n
\u5176\u5b9e\u5b9e\u9645\u5927\u578b\u5de5\u7a0b\u4e2d\uff0c\u4e00\u822c\u91c7\u7528\u7684\u58f3\u5143S4R\u6765\u6a21\u62df\u526a\u529b\u5899\uff0c\u58f3\u5143\u7684\u6750\u6599\u53ef\u4ee5\u91c7\u7528\u5b50\u7a0b\u5e8f\u7684\u6750\u6599\u4e5f\u53ef\u4ee5\u91c7\u7528ABAQUS\u7684\u6df7\u51dd\u571f\u5851\u6027\u635f\u4f24\u6a21\u578b\u3002\u4e0a\u9762\u90a3\u4e2a\u8bd5\u9a8c\u76f4\u63a5\u5199inp\uff0c\u7136\u540e\u5bfc\u5165Abaqus\uff0c\u6a21\u578b\u89c6\u56fe\u5982\u4e0b\uff1a<\/p>\n
\n  
\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u58f3\u5143\u6a21\u578b<\/em><\/strong><\/center>\n
\u6839\u636e\u6587\u732e[4]\uff0c\u65b9\u8001\u5e08\u91c7\u7528MCFT\u6a21\u578b\u6765\u6a21\u62df\u6df7\u51dd\u571f\u6750\u6599\uff0c\u83b7\u5f97\u4e86\u4e0d\u9519\u7684\u6548\u679c\u3002\u91c7\u7528\u58f3\u5143\u5f97\u5230\u7684\u7ed3\u679c\u5982\u4e0b:<\/p>\n
\n  
\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u58f3\u5143\u7ed3\u679c\u4e0e\u8bd5\u9a8c\u7ed3\u679c\u5bf9\u6bd4<\/em><\/strong><\/center>\n
\u4e0a\u56fe\u57fa\u672c\u53ef\u77e5\uff0c\u91c7\u7528\u6df7\u51dd\u571f\u91c7\u7528MFCT\u6a21\u578b\uff0c\u94a2\u7b4b\u91c7\u7528Vecchio\u94a2\u7b4b\u6a21\u578b\uff0c\u53ef\u4ee5\u5f97\u5230\u4e00\u4e2a\u76f8\u5bf9\u8fd8\u7b97\u5408\u7406\u7684\u7ed3\u679c\uff0c\u4f46\u8981\u6bcf\u73af\u90fd\u5bf9\u7684\u5dee\u4e0d\u591a\u8fd8\u662f\u6709\u4e9b\u96be\u5ea6\u3002\u4f46\u662f\u58f3\u5143\u5982\u679c\u7528ABAQUS\u7684CDP\u6a21\u578b\uff0c\u5219\u6548\u679c\u6ca1\u6709\u90a3\u4e48\u7406\u60f3\uff0c\u5982\u4e0b\uff1a<\/p>\n
\n  
\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u58f3\u5143\u7ed3\u679c\u4e0e\u8bd5\u9a8c\u7ed3\u679c\u5bf9\u6bd4<\/em><\/strong><\/center>\n
5 \u7ed3\u8bba<\/h4>\n
\u5728ABAQUS Standard\u4e2d\uff0c\u91c7\u7528\u58f3\u5143+\u6750\u6599\u5b50\u7a0b\u5e8f\u53ef\u4ee5\u5f97\u5230\u4e00\u4e2a\u6bd4\u8f83\u5408\u7406\u7684\u7ed3\u679c\uff0c\u524d\u63d0\u662f\u5b50\u7a0b\u5e8f\u7ecf\u8fc7\u4e86\u6bd4\u8f83\u591a\u5b9e\u4f8b\u7684\u9a8c\u8bc1\u3002\u91c7\u7528Abaqus\u7684CDP\u672c\u6784+\u58f3\u5143\u4e5f\u662f\u53ef\u4ee5\u5f97\u5230\u4e00\u4e2a\u6bd4\u5b9e\u4f53\u5355\u5143\u7565\u5408\u7406\u7684\u7ed3\u679c\uff0c\u5b9e\u4f53\u5355\u5143\u65e0\u6cd5\u5f97\u5230\u66f4\u5408\u7406\u7684\u6ede\u56de\u66f2\u7ebf\uff0c\u53ef\u80fd\u9700\u8981\u8fdb\u4e00\u6b65\u5f00\u53d1\u6750\u6599\u5b50\u7a0b\u5e8f\u3002<\/p>\n
PS\uff1a\u56e0\u7f16\u8bd1\u73af\u5883\u7684\u95ee\u9898\uff0c\u5bfc\u81f4\u51fa\u73b0\u5982\u4e0b\u62a5\u9519\uff0c\u4e0d\u5f71\u54cd\u8ba1\u7b97\uff0c\u53ef\u8fdb\u4e00\u6b65\u8ba1\u7b97\u3002\u6b22\u8fce\u5927\u5bb6\u90fd\u6765\u81ea\u5df1\u7b97\u7b97\u3002<\/p>\n
\n  
\"\u56fe\u7247\"<\/figure>\n<\/center>\n
\u56fe| \u7f16\u8bd1\u8b66\u544a<\/em><\/strong><\/center>\n
6 2022\u5e74\u7684\u5c55\u671b<\/h4>\n
\u611f\u8c22\u8bfb\u5230\u6b64\u5904\u7684\u670b\u53cb\uff0c\u518d\u6b21\u8c22\u8c22\u3002\u672c\u7bc7\u662f\u5143\u65e6\u524d\u51c6\u5907\u5f00\u59cb\u5199\u7684\uff0c\u4f46\u5e74\u5e95\u5404\u79cd\u603b\u7ed3\u5de5\u4f5c\u592a\u5fd9\uff0c\u4eca\u5929\u624d\u5b8c\u6210\uff0c\u540e\u7eed\u6709\u7a7a\u518d\u5199\u70b9ABAQUS\u4e0e\u8bd5\u9a8c\u6821\u5bf9\u7684\u5c0f\u4e1c\u897f\u3002\u6700\u540e\u662f2021\u5e74\u5168\u5e74\u539f\u521b\u6587\u7ae0\u6c47\u603b\uff0c15\u7bc7\uff0c\u51e0\u4e4e\u6bcf\u6708\u4e00\u7bc7\u786c\u6838\u6587\u7ae0\u7684\u9891\u7387\uff0c\u57fa\u672c\u662f\u4e0e\u8ba1\u7b97\u6216\u7f16\u7a0b\u76f8\u5173\u5185\u5bb9\uff0c\u7f16\u7a0b\u548c\u64cd\u4f5c\u5b9e\u73b0\u4e86\u624d\u4f1a\u5199\u4e0a\u6765\u30022022\u5e74\u5e0c\u671b\u6709\u66f4\u591a\u65f6\u95f4\u7ee7\u7eed\u5728\u6b64\u5730\u8015\u8018\u64ad\u79cd\uff0c\u5e0c\u671b\u8fbe\u5230\u6bcf\u67082\u7bc7\u7684\u9891\u7387\uff0c\u8fd8\u6ca1\u5b8c\u5584\u7684\u5c0f\u7a0b\u5e8f\u8fdb\u4e00\u6b65\u5b8c\u5584\uff0c\u4e5f\u6b22\u8fce\u5927\u5bb6\u7ee7\u7eed\u8bd5\u7528\u3002\u5148\u795d\u5927\u5bb6\u65b0\u5e74\u6109\u5feb\u3002<\/p>\n
\u53c2\u8003\u6587\u732e<\/strong><\/p>\n
[1]LuX,Xie L,Guan H,et al.A shear wall element for nonlinear seismic analysis ofsuper-tall buildings using OpenSees. Finite Elements in Analysis and Design,2015, 98: 14-25.<\/p>\n
[2]\u65b9\u81ea\u864e,\u5468\u6d77\u4fca,\u8d56\u5c11\u9896,\u7b49\u00b7ABAQUS\u6df7\u51dd\u571f\u5e94\u529b\u5e94\u53d8\u5173\u7cfb\u9009\u62e9[J],\u5efa\u7b51\u7ed3\u6784,2013,43(S2):559-64.<\/p>\n
[3]\u65b9\u81ea\u864e\uff0c\u7b80\u65ed\u9633\uff0c\u5468\u5c27\uff0c\u7b49.\u8003\u8651\u5c48\u66f2\u7684\u94a2\u7b4b\u6ede\u56de\u6a21\u578b[\uff2a].\u6b66\u6c49\u5927\u5b66\u5b66\u62a5(\u5de5\u5b66\u7248),2016,49(2):254-258\uff0e<\/p>\n
[4]\u65b9\u81ea\u864e,\u8c22\u5f3a,\u5468\u5c27,\u7b49.\u5faa\u73af\u8377\u8f7d\u4e0b\uff2dCFT\u6df7\u51dd\u571f\u7ed3\u6784\u6a21\u578b[\uff2a].\u5730\u9707\u5de5\u7a0b\u4e0e\u5de5\u7a0b\u632f\u52a8,2015,35(3):73-78.<\/p>\n
\u5f80\u671f\u6587\u7ae0<\/strong><\/p>\n
#\u53c2\u6570\u5316\u5efa\u6a21#<\/strong><\/p>\n
\u8be6\u89e3Grasshopper\u4e2d\u7684C#\u811a\u672c\u7535\u6c60\u8be6\u89e3[\u9644\u6e90\u7801]<\/a><\/p>\n
\u5982\u4f55\u5f00\u53d1Grasshopper\u63d2\u4ef6[\u9644\u6e90\u7801]<\/a><\/p>\n
Rhino.Python\u811a\u672c\u5efa\u6a21\u5b66\u4e60\u7b14\u8bb0\u30101\u3011<\/a><\/p>\n
#\u7ed3\u6784\u7f16\u7a0b#<\/strong><\/p>\n
Python\u9a71\u52a8Abaqus\u5b9e\u4f53\u6709\u9650\u5143\u5efa\u6a21[\u9644\u6e90\u7801]<\/a><\/p>\n
\u6709\u5173\u9009\u6ce2\u7684\u82e5\u5e72\u6280\u672f\u5410\u69fd<\/a><\/p>\n
\u81ea\u52a8\u9009\u6ce2\u7a0b\u5e8fAutoWave\u66f4\u65b0<\/a><\/p>\n
PKPM5.\u8f6cETABS201X\u63a5\u53e3\u7a0b\u5e8f[Free]<\/a><\/p>\n
YJK\u6a21\u578b\u8f6cETABS201X\u81ea\u7f16\u63a5\u53e3\u4ecb\u7ecd<\/a><\/p>\n
\u7ed3\u6784\u8f6f\u4ef6\u5173\u4e8e\u6881\u67f1\u521a\u57df\u7684\u8003\u8651<\/a><\/p>\n
AutoWave\u81ea\u52a8\u9009\u6ce2\u53ca\u4eba\u5de5\u6ce2\u751f\u6210\u5de5\u5177\u64cd\u4f5c\u6f14\u793a<\/a><\/p>\n
\u7ed3\u6784\u5206\u6790\u8bbe\u8ba1\u6709\u54ea\u4e9b\u5de5\u4f5c\u53ef\u4ee5\u8ba9Python\u5e72\uff1f<\/a><\/p>\n
\u4e00\u540d\u7ed3\u6784\u5de5\u7a0b\u5e08\u5b66\u4e60Python\u7684\u5fc3\u8def\u5386\u7a0b<\/a><\/p>\n
Python\u4eceYJK\u6570\u636e\u5e93\u8bfb\u53d6\u8377\u8f7d\u5de5\u51b5\u4fe1\u606f<\/a><\/p>\n
#\u5efa\u7b51\u5927\u5e08#<\/strong><\/p>\n
[\u5efa\u7b51\u5927\u5e08]\uff081\uff09\u8c9d\u807f\u9298\u7684\u5149\u5f71\u50b3\u5947<\/a><\/p>\n
[\u5efa\u7b51\u5927\u5e08]\uff082\uff09\u52d2\u00b7\u67ef\u5e03\u897f\u8036\u7684\u73b0\u4ee3\u4e3b\u4e49<\/a><\/p>\n
[\u5efa\u7b51\u5927\u5e08]\uff083\uff09\u5965\u65af\u5361\u6885\u5c3c\u8036\u7684\u5efa\u7b51\u66f2\u7ebf\u4e0e\u5973\u4eba<\/a><\/p>\n
#\u7ed3\u6784\u5927\u5e08#<\/strong><\/p>\n
\u9ad8\u5c42\u5efa\u7b51\u8bbe\u8ba1-\u4ee5\u7ed3\u6784\u4e3a\u5efa\u7b51[\u4e0a] bySOM\u5927\u795e\u9a6c\u514b*\u590f\u51ef\u661f<\/a><\/p>\n
\u9ad8\u5c42\u5efa\u7b51\u8bbe\u8ba1-\u4ee5\u7ed3\u6784\u4e3a\u5efa\u7b51[\u4e2d] bySOM\u5927\u795e\u9a6c\u514b*\u590f\u51ef\u661f<\/a><\/p>\n
\u9ad8\u5c42\u5efa\u7b51\u8bbe\u8ba1-\u4ee5\u7ed3\u6784\u4e3a\u5efa\u7b51[\u4e0b] bySOM\u5927\u795e\u9a6c\u514b*\u590f\u51ef\u661f<\/a><\/p>\n
\u6297\u9707\u6027\u80fd\u8bbe\u8ba1\u5927\u795eGraham.H.Powell\u8bb2\u5ea7\u7b2c1\u8282-\u4e0a<\/a><\/p>\n
\u6297\u9707\u6027\u80fd\u8bbe\u8ba1\u5927\u795eGraham.H.Powell\u8bb2\u5ea7\u7b2c1\u8282-\u4e0b<\/a><\/p>\n
\u8d85\u9ad8\u5c42\u5efa\u7b51\u6297\u9707\u6027\u80fd\u8bbe\u8ba1by\u4f2f\u514b\u5229\u6559\u6388Jack Moehle<\/a>http:\/\/mp.weixin.qq.com\/s?__biz=MzAwNDUyOTcxMw==&mid=2649342555&idx=1&sn=6c5b4e8e9e8e009ee7ff9d5eaeebc4d2&chksm=8337e905b4406013c057b64c4a277e7c91aa542a3c415144ce6324668af84fdc162a89db6820&scene=21#wechat_redirect<\/a>)<\/p>\n
———————————————————————————English———————————–<\/p>\n
\n
This is the first article of 2022. Thank you all for your continued attention and sharing! This article is a continuation of the previous post Simulating Pinching Effect of RC Members with Abaqus<\/strong><\/a>, sharing scripts used for solid and reinforcement modeling. This is the 29th original post. Original content is hard-won; cherish it if you find it valuable.<\/p>\n
Some say this winter is cold, and the construction industry will face even more “chilling” challenges next year. Reality remains harsh, but we can’t control these macro-environmental changes. If you’re still in or passionate about this industry, focus on doing your best work and pushing forward. Whether you stay or leave eventually, you’ll have no regrets. In the new year and beyond, may you return with the same youthful passion, your initial aspirations intact, and all challenges resolved. Let these words encourage us all! The article is lengthy\u2014consider bookmarking<\/strong> or saving<\/strong>. If it interests you, feel free to share<\/strong> or like<\/strong>!<\/p>\n<\/blockquote>\n
\n
1 Strange Phenomena<\/h4>\n
Today, I used Abaqus to simulate the hysteresis curve fitting of a shear wall under static cyclic loading, employing both shell and solid elements with truss elements for reinforcement. The concrete material properties utilized Prof. Fang Zihu’s subroutines. This exercise aimed to validate parameter selection and explore the limitations of Abaqus elements. Abaqus’s robust secondary development capabilities unlock vast possibilities, and experimental validations confirm parameter reliability.<\/p>\n
A peculiar trend: Some software packages frequently use Abaqus for comparative validation, but their reliability is questionable.<\/strong> Abaqus’s customizable parameters raise suspicions of potential bias when aligning results with other software. True validation should stem from experimental data (abundant globally) or real-world seismic damage observations\u2014remaining objective and grounded.<\/p>\n
Another oddity: Freely shared resources are sometimes monetized or traded for credits online.<\/strong> While we can’t expect modern “no theft” utopias, respect intellectual property. Remember: Shared resources are for learning, not profit. Always credit original authors.<\/p>\n
Prof. Fang generously shares subroutines, papers, case studies, and tutorials. Visit his blog for updated 2021 subroutines:
\nhttps:\/\/www.cnblogs.com\/dark-f\/p\/18283787<\/a>  <\/p>\n
Please respect his work by citing his papers when using his methods.  <\/p>\n
Let’s spread this article to curb these anomalies.<\/p>\n
\n
2 Python Scripts for Experimental Modeling<\/h4>\n
The example uses experimental data from:
\nhttp:\/\/www.luxinzheng.net\/download\/OpenSEES\/Examples_of_NLDKGQ_element.htm<\/a>
\nTest images are from Reference [1]. A tip for researchers: Always document specimen details and loading protocols clearly. For instance, this shear wall’s cyclic loading details are shown below:<\/p>\n
\n  
\"Image\"<\/figure>\n<\/center>\n
Figure | Shear Wall Test Information<\/em><\/strong><\/center>\n
The loading protocol (preferably as data tables or curves) is critical for reproducibility and citation potential:<\/p>\n
\n  
\"Image\"<\/figure>\n<\/center>\n
Figure | Loading Protocol<\/em><\/strong><\/center>\n
Following the approach in Python-Driven Abaqus Solid FEM Modeling [Source Code]<\/a>, the solid model is built as:<\/p>\n\n\n\n\n\n
\"\"<\/figure><\/th>\n
\"\"<\/figure><\/th>\n<\/tr>\n<\/thead>\n
\"\"<\/figure><\/td>\n
\"\"<\/figure><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
Figure | Geometric Model<\/em><\/strong><\/center>\n
The Python scripts for concrete and reinforcement modeling:<\/p>\n
# -*- coding: mbcs -*-\n# Author: idealzeng@qq.com from Capol\n# Date: 2021\/12\/31\nfrom abaqus import *\nfrom abaqusConstants import *\nimport section\nimport regionToolset\nimport displayGroupMdbToolset as dgm\nimport part\nimport material\nimport assembly\nimport step\nimport interaction\nimport load\nimport mesh\nimport optimization\nimport job\nimport sketch\nimport visualization\nimport xyPlot\nimport displayGroupOdbToolset as dgo\nimport connectorBehavior\n\n# ... [Full script truncated for brevity] ...<\/code><\/pre>\n
Script execution effect:<\/p>\n
 
\"Image\"<\/figure> <\/center>\n
Complex structures can be built by decomposing into simpler components. Refer to Python-Driven Abaqus Solid FEM Modeling [Source Code] for methodology.<\/p>\n
3 Concrete Damage Plasticity Model & Reinforcement<\/h4>\n
From Reference [2], key points for Concrete Damage Plasticity (CDP) model:<\/p>\n
Linear tensile stress ascent; descent follows Chinese code.<\/p>\n
Compressive curve adopts Chinese code with \u03b5\u2080 from Eurocode. Elastic range up to 0.4fc. Poisson\u2019s ratio: 0.16.<\/p>\n
Truncate compressive strain at 3\u03b5\u2080.<\/p>\n
Damage parameter: d = 1 – \u03c3\/fc, up to 0.95.<\/p>\n
 
\"Image\"<\/figure> <\/center>\n
 
\"Image\"<\/figure> <\/center>\n
Reinforcement used Prof. Fang\u2019s subroutine cs-2021-8-2.obj (Reference [3]). Call via MATERIAL=BAR_V##. The Vecchio model considers buckling:<\/p>\n
 
\"Image\"<\/figure> <\/center>\n
Horizontal bars used ideal elastoplasticity. Solid element results were suboptimal:<\/p>\n
 
\"Image\"<\/figure> <\/center>\n
4 Shell Element Model<\/h4>\n
Shell elements (S4R) are common in large-scale projects. Using Prof. Fang\u2019s MCFT model (Reference [4]) yielded reasonable results:<\/p>\n
 
\"Image\"<\/figure> <\/center>\n
 
\"Image\"<\/figure> <\/center>\n
Abaqus CDP with shells performed less ideally:<\/p>\n
 
\"Image\"<\/figure> <\/center>\n
5 Conclusions<\/h4>\n
In Abaqus Standard:<\/p>\n
Shell elements + validated subroutines yield reliable results.<\/p>\n
CDP + shells perform better than solids but need subroutine development for improved hysteresis.<\/p>\n
PS: Compilation warnings (below) don\u2019t affect calculations. Try it yourself!<\/p>\n
 
\"Image\"<\/figure> <\/center>\n
6 2022 Outlook<\/h4>\n
Thank you for reading! This article was drafted before New Year but delayed by year-end tasks. Future posts will cover Abaqus-experiment alignment. Below are 2021\u2019s 15 original articles (monthly technical deep-dives). Aiming for twice-monthly posts in 2022. Happy New Year!<\/p>\n
References\n[1] Lu X, et al. Finite Elements in Analysis and Design, 2015, 98:14-25.\n[2] Fang Zihu, et al. Building Structure, 2013,43(S2):559-64.\n[3] Fang Zihu, et al. Journal of Wuhan University (Engineering Edition), 2016,49(2):254-258.\n[4] Fang Zihu, et al. Earthquake Engineering and Engineering Vibration, 2015,35(3):73-78.<\/p>\n
Past Articles<\/p>\n
Parametric Modeling<\/p>\n
C# Scripting in Grasshopper [Source Code]<\/p>\n
Developing Grasshopper Plugins [Source Code]<\/p>\n
Structural Programming<\/p>\n
Python-Driven Abaqus Solid FEM Modeling [Source Code]<\/p>\n
AutoWave: Automated Seismic Wave Selection Tool<\/p>\n
Architectural Masters<\/p>\n
I.M. Pei\u2019s Legacy of Light<\/p>\n
Structural Masters<\/p>\n
High-Rise Design: Architecture as Structure by SOM\u2019s Mark Sarkisian<\/p>","protected":false},"excerpt":{"rendered":"
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