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input_file.py
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input_file.py
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import numpy as np
################################################## Input data ##################################################
# distribution_dataset = [[distribution type, mean, standard deviation, starting point], -> variable x[1]
# [distribution type, mean, standard deviation, starting point], -> variable x[2]
# ...]
distribution_dataset = [[1, 30, 9, 30],
[1, 30, 9, 30],
[1, 30, 3, 30],
[1, 45, 4.5, 45],
[1, 25, 2.5, 25]]
# Correlation_xx = correlation matrix
correlation_xx = np.ones((5,5))*0.2 + 0.8*np.eye(5)
# limit_state_funtions = ['Limit-state function #1',
# 'Limit-state function #2'],
# ... ]
limit_state_functions = ['2*x[3]+x[4]-2*x[1]',
'x[4]+2*x[5]-2*x[1]',
'-2*x[1]-2*x[2]+2*x[3]+2*x[4]+2*x[5]']
# tolerance = [e1, e2]
# e1 = tolerance on how close design point is to limit-state surface
# e2 = tolerance on how accurately the gradient points towards the origin
# (Do not need for Monte Carlo Simulation)
tolerance = [1e-3, 1e-3]
# compute_type = 'HLRF' for HL-RF algorithm
# = 'iHLRF' for Improved HL-RF algorithm
compute_type = 'HLRF'
# MaxIteration = maximum iteration for FORM analysis
max_iteration = 100
# system_failure = experssion of system failure
# = [[cutset #1 of system with component number],
# [cutset #2 of system with component number], ...]
# (Do not need for FORM, SORM)
system_failure = [[1],[2],[3]]
# simulation_number = number of simulation5
# (Do not need for FORM, SORM, System Reliability)
simulation_number = 5000
# simulation_tolerance = tolerance on how accurately simulate
# (Do not need for FORM, SORM, System Reliability)
simulation_tolerance = 1e-2
# sampling_covariance = sampling covariance matrix for Importance Sampling
# (Do not need for FORM, SORM, System Reliability, Monte Carlo Simulation)
sampling_covariance = np.eye(5)
# m = power of beta when compute weight of each component
# (Do not need for FORM, SORM, System Reliability, Monte Carlo Simulation)
m = 1
################################################################################################################
exec(open('operator.py').read())