Example #1
0
File: test.py Project: VSilva/DBELA
 def test_DS1_DS2(self):   
     print 'test 18' 
     pos = damage_allocator.damage_state_position([1,2,3], [[0.5,1,4],[1.5,1.8,4]])
     self.assertTrue(numpy.allclose(pos,[[1,0,0,0],[0,1,0,0]]))
Example #2
0
File: test.py Project: VSilva/DBELA
 def test_DS2(self):   
    pos = damage_allocator.damage_state_position([1,2,3], [[1.5,2.5,2.8],[1.5,2.5,4]])
    self.assertTrue(numpy.allclose(pos,[[0,0,1,0],[0,0,0,1]])) 
Example #3
0
        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)
statistics = fit_curve.compute_statistics(setIMLs,LS1PEs,LS2PEs,LS3PEs)