def RunIterations2(GRS, Fz, printOn): ops.timeSeries('Linear', 1) ops.pattern('Plain', 1, 1) for i in range(GRS.nbnBns): ops.load(int(100 + GRS.nbn[i]), 0., 0., Fz * un.kN, 0., 0., 0.) GRS.GetTopNode() # ops.load(int(100+GRS.maxNsID), 0., 0., Fz * kN, 0., 0., 0.) # mid-point # create SOE ops.system('UmfPack') # create DOF number ops.numberer('RCM') # create constraint handler ops.constraints('Transformation') # create integrator ops.integrator("LoadControl", 1.0 / GRS.Steps) # create algorithm ops.algorithm("Newton") # create test ops.test('EnergyIncr', 1.e-10, 100) ops.analysis('Static') NDisp = np.zeros([GRS.Steps + 1, GRS.nbNsAll, 3]) # EDisp = np.zeros([GRS.Steps + 1, GRS.nbElAll, 6]) EForce = np.zeros([GRS.Steps + 1, GRS.nbElAll, 12]) reI = 0 reI = 0 lefutott = 1 for i in range(1, GRS.Steps + 1): hiba = ops.analyze(1) if hiba == 0: if i == 1: if printOn: print('analysis step 1 completed successfully') for j in range(GRS.nbNsAll): NDisp[i, j, 0] = -ops.nodeDisp(int(j + 100), 1) / un.mm # mm displacement NDisp[i, j, 1] = -ops.nodeDisp(int(j + 100), 2) / un.mm # mm displacement NDisp[i, j, 2] = -ops.nodeDisp(int(j + 100), 3) / un.mm # mm displacement for j in range(GRS.nbElAll): EForce[i, j] = ops.eleResponse(int(j + 1000), 'localForce') # EDisp[i, j] = ops.eleResponse(int(j + 1000), 'basicDeformation') else: lefutott = 0 reI = i if reI == 1: if printOn: print('analysis failed to converge in step ', i) break return lefutott, NDisp, EForce, reI
def test_recorder_time_step_can_handle_fp_precision(): import tempfile opy.model('basic', '-ndm', 2, '-ndf', 3) opy.node(1, 0.0, 0.0) opy.node(2, 0.0, 5.0) opy.fix(2, 0, 1, 0) opy.fix(1, 1, 1, 1) opy.equalDOF(2, 1, 2) opy.mass(2, 1.0, 0.0, 0.0) opy.geomTransf('Linear', 1, '-jntOffset') opy.element('elasticBeamColumn', 1, 1, 2, 1.0, 1e+06, 0.00164493, 1) opy.timeSeries('Path', 1, '-dt', 0.1, '-values', 0.0, -0.001, 0.001, -0.015, 0.033, 0.105, 0.18) opy.pattern('UniformExcitation', 1, 1, '-accel', 1) opy.rayleigh(0.0, 0.0159155, 0.0, 0.0) opy.wipeAnalysis() opy.algorithm('Newton') opy.system('SparseSYM') opy.numberer('RCM') opy.constraints('Transformation') opy.integrator('Newmark', 0.5, 0.25) opy.analysis('Transient') opy.test('EnergyIncr', 1e-07, 10, 0, 2) node_rec_ffp = tempfile.NamedTemporaryFile(delete=False).name ele_rec_ffp = tempfile.NamedTemporaryFile(delete=False).name rdt = 0.01 adt = 0.001 opy.recorder('Node', '-file', node_rec_ffp, '-precision', 16, '-dT', rdt, '-rTolDt', 0.00001, '-time', '-node', 1, '-dof', 1, 'accel') opy.recorder('Element', '-file', ele_rec_ffp, '-precision', 16, '-dT', rdt, '-rTolDt', 0.00001, '-time', '-ele', 1, 'force') opy.record() for i in range(1100): opy.analyze(1, adt) opy.getTime() opy.wipe() a = open(node_rec_ffp).read().splitlines() for i in range(len(a) - 1): dt = float(a[i + 1].split()[0]) - float(a[i].split()[0]) assert abs(dt - 0.01) < adt * 0.1, (i, dt) a = open(ele_rec_ffp).read().splitlines() for i in range(len(a) - 1): dt = float(a[i + 1].split()[0]) - float(a[i].split()[0]) assert abs(dt - 0.01) < adt * 0.1, (i, dt)
# create DOF number op.numberer('RCM') # create constraint handler alpha = 1e18 op.constraints('Penalty', alpha, alpha) # create integrator gamma = 0.6 beta = 0.3 op.integrator('Newmark', gamma, beta) # create algorithm op.algorithm('Newton') # create test tol = 1.0E-8 Iter = 25 pFlag = 0 op.test('NormDispIncr', tol, Iter, pFlag) # create analysis object op.analysis('VariableTransient') # perform the analysis dtMin = dt / 100 #Minimum time steps. (required for VariableTransient analysis) dtMax = dt / 10 #Maximum time steps (required for VariableTransient analysis) Jd = 1000 #Number of iterations user would like performed at each step. The variable transient analysis will change current time step if last analysis step took more or less iterations than this to converge (required for VariableTransient analysis) op.analyze(numIncr, dt, dtMin, dtMax, Jd) op.wipe() ################################################################# # Plot the results #################################################################
# ---------------------------- # Start of analysis generation # ---------------------------- # create the system of equation ops.system("UmfPack") # create the DOF numberer ops.numberer("Plain") # create the constraint handler ops.constraints("Transformation") # create the convergence test ops.test("EnergyIncr", 1.0E-8, 20) # create the solution algorithm, a Newton-Raphson algorithm ops.algorithm("Newton") # create the integration scheme, the Newmark with gamma=0.5 and beta=0.25 ops.integrator("Newmark", 0.5, 0.25) # create the analysis object ops.analysis("Transient") # -------------------------- # End of analysis generation # --------------------------
#---ANALYSIS PARAMETERS # Newmark parameters gamma = 0.5 beta = 0.25 #----------------------------------------------------------------------------------------- # 9. GRAVITY ANALYSIS #----------------------------------------------------------------------------------------- # update materials to ensure elastic behavior op.updateMaterialStage('-material', 1, '-stage', 0) op.updateMaterialStage('-material', 2, '-stage', 0) op.updateMaterialStage('-material', 3, '-stage', 0) op.constraints('Penalty', 1.0E14, 1.0E14) op.test('NormDispIncr', 1e-4, 35, 1) op.algorithm('KrylovNewton') op.numberer('RCM') op.system('ProfileSPD') op.integrator('Newmark', gamma, beta) op.analysis('Transient') startT = tt.time() op.analyze(10, 5.0E2) print('Finished with elastic gravity analysis...') # update material to consider elastoplastic behavior op.updateMaterialStage('-material', 1, '-stage', 1) op.updateMaterialStage('-material', 2, '-stage', 1) op.updateMaterialStage('-material', 3, '-stage', 1)
# ----------------------- # End of model generation # ----------------------- # ------------------------ # Start of static analysis # ------------------------ # Load control with variable load steps # init Jd min max ops.integrator("LoadControl", 1.0, 1, 1.0, 10.0) # Convergence test # tolerance maxIter displayCode ops.test("EnergyIncr", 1.0E-10, 20, 0) # Solution algorithm ops.algorithm("Newton") # DOF numberer ops.numberer("RCM") # Cosntraint handler ops.constraints("Plain") # System of equations solver ops.system("SparseGeneral", "-piv") #ops.system("ProfileSPD") # Analysis for gravity load
# -------------------------------------------------- # Start of analysis generation for gravity analysis # -------------------------------------------------- # create the system of equation ops.system("BandGeneral") # create the DOF numberer, the reverse Cuthill-McKee algorithm ops.numberer("RCM") # create the constraint handler, a Plain handler is used as h**o constraints ops.constraints("Plain") # Create the convergence test, the norm of the residual with a tolerance of # 1e-12 and a max number of iterations of 10 ops.test("NormDispIncr", 1.0E-8, 10, 0) # create the solution algorithm, a Newton-Raphson algorithm ops.algorithm("Newton") # create the integration scheme, the LoadControl scheme using steps of 0.1 ops.integrator("LoadControl", 0.1) # create the analysis object ops.analysis("Static") # ------------------------------------------------ # End of analysis generation for gravity analysis # ------------------------------------------------
# ---------------------------- # Start of analysis generation # ---------------------------- # create the system of equation ops.system("UmfPack") # create the DOF numberer ops.numberer("Plain") # create the constraint handler ops.constraints("Transformation") # create the convergence test ops.test("EnergyIncr", 1.0E-8, 20) # create the solution algorithm, a Newton-Raphson algorithm ops.algorithm("Newton") # create the integration scheme, the Newmark with gamma=0.5 and beta=0.25 ops.integrator("Newmark", 0.5, 0.25) # create the analysis object ops.analysis("Transient") # -------------------------- # End of analysis generation # -------------------------- # ----------------------------
# ------------------------------ # Start of analysis generation # ------------------------------ # create the system of equation ops.system("BandGeneral") # create the DOF numberer, the reverse Cuthill-McKee algorithm ops.numberer("RCM") # create the constraint handler, a Plain handler is used as h**o constraints ops.constraints("Plain") # Create the convergence test, the norm of the residual with a tolerance of # 1e-12 and a max number of iterations of 10 ops.test("NormDispIncr", 1.0E-12, 10, 3) # create the solution algorithm, a Newton-Raphson algorithm ops.algorithm("Newton") # create the integration scheme, the LoadControl scheme using steps of 0.1 ops.integrator("LoadControl", 0.1) # create the analysis object ops.analysis("Static") # ------------------------------ # End of analysis generation # ------------------------------ # ------------------------------
loadValues = [3500.0, 0.0, 0.0, 0.0, 0.0, 0.0] op.timeSeries('Path', 1, '-values', *values, '-time', *time, '-factor', 1.0) op.pattern('Plain', 10, 1) op.load(nodeTag, *loadValues) print("Finished creating loading object...") #---------------------------------------------------------- # create the analysis #---------------------------------------------------------- op.integrator('LoadControl', 0.05) op.numberer('RCM') op.system('SparseGeneral') op.constraints('Transformation') op.test('NormDispIncr', 1e-5, 20, 1) op.algorithm('Newton') op.analysis('Static') print("Starting Load Application...") op.analyze(201) print("Load Application finished...") #print("Loading Analysis execution time: [expr $endT-$startT] seconds.") #op.wipe op.reactions() Nodereactions = dict() Nodedisplacements = dict() for i in range(201,nodeTag+1):
def RunIterations(GRS, Fz, printOn): ops.timeSeries('Linear', 1) ops.pattern('Plain', 1, 1) loadA = np.linspace(0, -Fz, GRS.Steps + 1) # kN for i in range(GRS.nbnBns): if GRS.LoadType == 0 \ or (GRS.GeomType in {0, 1, 2} and GRS.LoadType == 1 and GRS.nsAll.x[GRS.nbn[i]] <= 0) \ or (GRS.GeomType in {0, 1, 2} and GRS.LoadType == 2 and GRS.nsAll.y[GRS.nbn[i]] <= 0) \ or (GRS.GeomType in {4} and GRS.LoadType == 1 and GRS.nsAll.x[GRS.nbn[i]] <= GRS.span / 2) \ or (GRS.GeomType in {4} and GRS.LoadType == 2 and GRS.nsAll.y[GRS.nbn[i]] <= GRS.span / 2): ops.load(int(100 + GRS.nbn[i]), 0., 0., Fz * un.kN, 0., 0., 0.) GRS.GetTopNode() # ops.load(int(100+GRS.maxNsID), 0., 0., Fz * kN, 0., 0., 0.) # mid-point # create SOE ops.system('UmfPack') # create DOF number ops.numberer('RCM') # create constraint handler ops.constraints('Transformation') # create test ops.test('EnergyIncr', 1.e-12, 10) # create algorithm ops.algorithm("Newton") NDisp = np.zeros([GRS.Steps + 1, GRS.nbNsAll, 3]) # EDisp = np.zeros([GRS.Steps + 1, GRS.nbElAll, 6]) EForce = np.zeros([GRS.Steps + 1, GRS.nbElAll, 12]) reI=0 reI = 0 lefutott = 1 i=0 load = 0 stepSize = 1.0 / GRS.Steps ops.integrator("LoadControl", stepSize) ops.analysis('Static') while ((-stepSize*Fz > GRS.MinStepSize) and (i<GRS.Steps)): hiba = ops.analyze(1) if hiba == 0: load += -stepSize * Fz i += 1 loadA[i] = load if i == 1: if printOn: print('analysis step 1 completed successfully') for j in range(GRS.nbNsAll): NDisp[i, j, 0] = - ops.nodeDisp(int(j + 100), 1) / un.mm # mm displacement NDisp[i, j, 1] = - ops.nodeDisp(int(j + 100), 2) / un.mm # mm displacement NDisp[i, j, 2] = - ops.nodeDisp(int(j + 100), 3) / un.mm # mm displacement for j in range(GRS.nbElAll): EForce[i, j] = ops.eleResponse(int(j+1000), 'localForce') # EDisp[i, j] = ops.eleResponse(int(j + 1000), 'basicDeformation') else: stepSize = stepSize/2 if printOn: print('analysis failed to converge in step ', i) ops.integrator("LoadControl", stepSize) lefutott = 0 reI = i if i == GRS.Steps: if reI == 1: if printOn: print('analysis failed to converge') return lefutott, NDisp, EForce, loadA, reI
# -------------------------------------------------- # Start of analysis generation for gravity analysis # -------------------------------------------------- # create the system of equation ops.system("BandGeneral") # create the DOF numberer, the reverse Cuthill-McKee algorithm ops.numberer("RCM") # create the constraint handler, a Plain handler is used as h**o constraints ops.constraints("Plain") # Create the convergence test, the norm of the residual with a tolerance of # 1e-12 and a max number of iterations of 10 ops.test("NormDispIncr", 1.0E-8, 10, 0) # create the solution algorithm, a Newton-Raphson algorithm ops.algorithm("Newton") # create the integration scheme, the LoadControl scheme using steps of 0.1 ops.integrator("LoadControl", 0.1) # create the analysis object ops.analysis("Static") # ------------------------------------------------ # End of analysis generation for gravity analysis # ------------------------------------------------ # ------------------------------
def test_recorder_time_step_is_stable(): opy.model('basic', '-ndm', 2, '-ndf', 2) opy.loadConst('-time', 1e+13) opy.node(1, 0.0, 0.0) opy.node(2, 0.5, 0.0) opy.node(3, 0.0, -0.5) opy.node(4, 0.5, -0.5) opy.equalDOF(3, 4, 1, 2) opy.node(5, 0.0, -1.0) opy.node(6, 0.5, -1.0) opy.equalDOF(5, 6, 1, 2) opy.node(7, 0.0, -1.5) opy.node(8, 0.5, -1.5) opy.equalDOF(7, 8, 1, 2) opy.node(9, 0.0, -2.0) opy.node(10, 0.5, -2.0) opy.equalDOF(9, 10, 1, 2) opy.node(11, 0.0, -2.5) opy.node(12, 0.5, -2.5) opy.equalDOF(11, 12, 1, 2) opy.node(13, 0.0, -3.0) opy.node(14, 0.5, -3.0) opy.equalDOF(13, 14, 1, 2) opy.fix(13, 0, 1) opy.fix(14, 0, 1) opy.node(15, 0.0, -3.0) opy.node(16, 0.0, -3.0) opy.fix(15, 1, 1) opy.fix(16, 0, 1) opy.equalDOF(13, 14, 1) opy.equalDOF(13, 16, 1) opy.nDMaterial('ElasticIsotropic', 1, 212500.0, 0.0, 1.7) opy.element('SSPquad', 1, 3, 4, 2, 1, 1, 'PlaneStrain', 1.0, 0.0, 16.677) opy.element('SSPquad', 2, 5, 6, 4, 3, 1, 'PlaneStrain', 1.0, 0.0, 16.677) opy.element('SSPquad', 3, 7, 8, 6, 5, 1, 'PlaneStrain', 1.0, 0.0, 16.677) opy.element('SSPquad', 4, 9, 10, 8, 7, 1, 'PlaneStrain', 1.0, 0.0, 16.677) opy.element('SSPquad', 5, 11, 12, 10, 9, 1, 'PlaneStrain', 1.0, 0.0, 16.677) opy.element('SSPquad', 6, 13, 14, 12, 11, 1, 'PlaneStrain', 1.0, 0.0, 16.677) opy.uniaxialMaterial('Viscous', 2, 212.5, 1.0) opy.element('zeroLength', 7, 15, 16, '-mat', 2, '-dir', 1) opy.constraints('Transformation') opy.test('NormDispIncr', 0.0001, 30, 0, 2) opy.algorithm('Newton', False, False, False) opy.numberer('RCM') opy.system('ProfileSPD') opy.integrator('Newmark', 0.5, 0.25) opy.analysis('Transient') opy.analyze(40, 1.0) opy.analyze(50, 0.5) opy.setTime(1.0e3) opy.wipeAnalysis() opy.recorder('Node', '-file', 'time_0_01.txt', '-precision', 16, '-dT', 0.01, '-rTolDt', 0.00001, '-time', '-node', 1, '-dof', 1, 'accel') opy.recorder('Element', '-file', 'etime_0_01.txt', '-precision', 16, '-dT', 0.01, '-rTolDt', 0.00001, '-time', '-ele', 1, 2, 'stress') opy.recorder('EnvelopeNode', '-file', 'entime_0_01.txt', '-precision', 16, '-dT', 0.01, '-time', '-node', 1, '-dof', 1, 'accel') # opy.recorder('Drift', '-file', 'dtime_0_01.txt', '-precision', 16, '-dT', 0.01, '-time', # '-iNode', 1, '-jNode', 2, '-dof', 1, '-perpDirn', 2) opy.timeSeries('Path', 1, '-dt', 0.01, '-values', -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -7.51325e-05) opy.pattern('Plain', 1, 1) opy.load(13, 1.0, 0.0) opy.algorithm('Newton', False, False, False) opy.system('SparseGeneral') opy.numberer('RCM') opy.constraints('Transformation') opy.integrator('Newmark', 0.5, 0.25) opy.rayleigh(0.17952, 0.000909457, 0.0, 0.0) opy.analysis('Transient') opy.test('EnergyIncr', 1e-07, 10, 0, 2) opy.record() opy.analyze(1, 0.001) for i in range(1100): print(i) opy.analyze(1, 0.001) cur_time = opy.getTime() opy.wipe() a = open('time_0_01.txt').read().splitlines() for i in range(len(a) - 1): dt = float(a[i + 1].split()[0]) - float(a[i].split()[0]) assert abs(dt - 0.01) < 0.0001, (i, dt)
# ----------------------- # End of model generation # ----------------------- # ------------------------ # Start of static analysis # ------------------------ # Load control with variable load steps # init Jd min max ops.integrator("LoadControl", 1.0, 1) # Convergence test # tolerance maxIter displayCode ops.test("NormUnbalance", 1.0E-10, 20, 0) # Solution algorithm ops.algorithm("Newton") # DOF numberer ops.numberer("RCM") # Cosntraint handler ops.constraints("Plain") # System of equations solver ops.system("ProfileSPD") # Analysis for gravity load ops.analysis("Static")
# -------------------------------------------------------------------- # Start of static analysis (creation of the analysis & analysis itself) # -------------------------------------------------------------------- # create the system of equation ops.system("ProfileSPD") # create the DOF numberer ops.numberer("RCM") # create the constraint handler ops.constraints("Plain") # create the convergence test ops.test("EnergyIncr", 1.0E-12, 10) # create the solution algorithm, a Newton-Raphson algorithm ops.algorithm("Newton") # create the load control with variable load steps ops.integrator("LoadControl", 1.0, 1, 1.0, 10.0) # create the analysis object ops.analysis("Static") # Perform the analysis ops.analyze(10) # -------------------------- # End of static analysis
# ------------------------------ # Start of analysis generation # ------------------------------ # create SOE op.system('UmfPack') # create DOF number op.numberer('RCM') # create constraint handler op.constraints('Transformation') # create integrator op.integrator('LoadControl', timeStep, NumSteps) # create algorithm op.algorithm('Newton') # create test op.test('NormUnbalance', 1, 1000, 1) # create analysis object op.analysis('Static') # perform the analysis op.analyze(NumSteps) op.loadConst('-time', 1.00) op.wipeAnalysis() #---------------------------------------------------------------------------------- ################################################################################### # Stage 2 : Perform Dynamic analysis with excess pore pressure generation in soil ################################################################################### Total_Time = 30 #total time of simulation dt = 0.01
ops.model('basic', '-ndm', 1, '-ndf', 1) ops.uniaxialMaterial('Elastic', 1, 3000.0) ops.node(1, 0.0) ops.node(2, 72.0) ops.fix(1, 1) ops.element('Truss', 1, 1, 2, 10.0, 1) ops.timeSeries('Linear', 1) ops.pattern('Plain', 1, 1) ops.load(2, 100.0) ops.constraints('Transformation') ops.numberer('ParallelPlain') ops.test('NormDispIncr', 1e-6, 6, 2) ops.system('ProfileSPD') ops.integrator('Newmark', 0.5, 0.25) # ops.analysis('Transient') ops.algorithm('Linear') ops.analysis('VariableTransient') ops.analyze(5, 0.0001, 0.00001, 0.001, 10) time = ops.getTime() print(f'time: ', ops.getTime()) approx_vtime = 0.0001 + 0.001 # One step at target, then one step at maximum assert 0.99 < time / approx_vtime < 1.01, (time, approx_vtime) ops.setTime(0.0) # Can still run a non-variable analysis - since analyze function has multiple dispatch. ops.analyze(5, 0.0001) time = ops.getTime()
# ------------------------------ # Start of analysis generation # ------------------------------ # create the system of equation ops.system("BandGeneral") # create the DOF numberer, the reverse Cuthill-McKee algorithm ops.numberer("RCM") # create the constraint handler, a Plain handler is used as h**o constraints ops.constraints("Plain") # Create the convergence test, the norm of the residual with a tolerance of # 1e-12 and a max number of iterations of 10 ops.test("NormDispIncr", 1.0E-12, 10, 3) # create the solution algorithm, a Newton-Raphson algorithm ops.algorithm("Newton") # create the integration scheme, the LoadControl scheme using steps of 0.1 ops.integrator("LoadControl", 0.1) # create the analysis object ops.analysis("Static") # ------------------------------ # End of analysis generation # ------------------------------
def get_inelastic_response(mass, k_spring, f_yield, motion, dt, xi=0.05, r_post=0.0): """ Run seismic analysis of a nonlinear SDOF :param mass: SDOF mass :param k_spring: spring stiffness :param f_yield: yield strength :param motion: list, acceleration values :param dt: float, time step of acceleration values :param xi: damping ratio :param r_post: post-yield stiffness :return: """ op.wipe() op.model('basic', '-ndm', 2, '-ndf', 3) # 2 dimensions, 3 dof per node # Establish nodes bot_node = 1 top_node = 2 op.node(bot_node, 0., 0.) op.node(top_node, 0., 0.) # Fix bottom node op.fix(top_node, opc.FREE, opc.FIXED, opc.FIXED) op.fix(bot_node, opc.FIXED, opc.FIXED, opc.FIXED) # Set out-of-plane DOFs to be slaved op.equalDOF(1, 2, *[2, 3]) # nodal mass (weight / g): op.mass(top_node, mass, 0., 0.) # Define material bilinear_mat_tag = 1 mat_type = "Steel01" mat_props = [f_yield, k_spring, r_post] op.uniaxialMaterial(mat_type, bilinear_mat_tag, *mat_props) # Assign zero length element beam_tag = 1 op.element('zeroLength', beam_tag, bot_node, top_node, "-mat", bilinear_mat_tag, "-dir", 1, '-doRayleigh', 1) # Define the dynamic analysis load_tag_dynamic = 1 pattern_tag_dynamic = 1 values = list(-1 * motion) # should be negative op.timeSeries('Path', load_tag_dynamic, '-dt', dt, '-values', *values) op.pattern('UniformExcitation', pattern_tag_dynamic, opc.X, '-accel', load_tag_dynamic) # set damping based on first eigen mode angular_freq = op.eigen('-fullGenLapack', 1)**0.5 alpha_m = 0.0 beta_k = 2 * xi / angular_freq beta_k_comm = 0.0 beta_k_init = 0.0 op.rayleigh(alpha_m, beta_k, beta_k_init, beta_k_comm) # Run the dynamic analysis op.wipeAnalysis() op.algorithm('Newton') op.system('SparseGeneral') op.numberer('RCM') op.constraints('Transformation') op.integrator('Newmark', 0.5, 0.25) op.analysis('Transient') tol = 1.0e-10 iterations = 10 op.test('EnergyIncr', tol, iterations, 0, 2) analysis_time = (len(values) - 1) * dt analysis_dt = 0.001 outputs = { "time": [], "rel_disp": [], "rel_accel": [], "rel_vel": [], "force": [] } while op.getTime() < analysis_time: curr_time = op.getTime() op.analyze(1, analysis_dt) outputs["time"].append(curr_time) outputs["rel_disp"].append(op.nodeDisp(top_node, 1)) outputs["rel_vel"].append(op.nodeVel(top_node, 1)) outputs["rel_accel"].append(op.nodeAccel(top_node, 1)) op.reactions() outputs["force"].append( -op.nodeReaction(bot_node, 1)) # Negative since diff node op.wipe() for item in outputs: outputs[item] = np.array(outputs[item]) return outputs