def test_compute_demand_disp(self): disp = demand_calculations.compute_demand_displacement([1.5,2.0,3.0],[[0.5,1.5],[1.5,2.5],[2.5,3.5]],[1.5,2.5],0.05,self.accs_path,'Bare_Frame',[1,2,3]) self.assertTrue(numpy.allclose(disp[0][0],0.5*1.8478728707195915)) self.assertTrue(numpy.allclose(disp[2][2],0.0549817*1.7960957613183324,atol=0.001))
data.append(es_ls2) data.append(es_ls3) data.append(betas) # print data collapse_type = capacity_calculations.compute_collapse_type(data) collapse_type = 'Beam Sway' #Compute capacity displacement capacityDisp = capacity_calculations.compute_disps(data,collapse_type) ductilities = capacity_calculations.compute_ductility(capacityDisp) periods = capacity_calculations.compute_periods(data,ductilities) elasticPeriods.append(periods[0]) #Compute demand displacement demandDisp = demand_calculations.compute_demand_displacement(data,periods,spectraDisp,spectraPeriods,damping,ACCELEROGRAMS,ductilities) DSpositions = damage_allocator.damage_state_position(capacityDisp, demandDisp) damageStates=damageStates+DSpositions print capacityDisp # print demandDisp # print ductilities # print periods # Compute the imls for each accelerogram imlDamageStates = demand_calculations.compute_imls_damage_states(elasticPeriods,ACCELEROGRAMS,IMTs,IMTVALUES) # Compute the best logarithmic mean and standard deviation for each curve fit_curve.compute_best_curves(imlDamageStates,damageStates,IMTs) # Compute statistics for each fragility curve setIMLs,LS1PEs,LS2PEs,LS3PEs = fit_curve.generate_synthetic_datasets(imlDamageStates,damageStates,5)