Research Of Structural Reliability Analysis Based On Artificial Neural Network

Traditional structure systematic reliability analytical method, after setting up the state function of limit, main difficult point that exist to is it solve systematic reliability index to ask to want, assume model stood up to set up through various kinds of, must find out the main invalid route in numerous invalid routes too, it is very complicated and consume a lot that this is operated, in the difficult reliability which is used the large-scale structure is analysed. In most structure dependability are analysed, the limit state function solved asked is often non-linear, involving a large number of random variables not confirmed, it is analysed that this kind of function is a complicated course consuming time even more. In addition among some actual project that reliability analyse, sometimes at all unable to is it produce intact limit state function to set up, the necessary data can only be got through the experiment method.To such a situation, this text has put forward and fitted the reliability problem of solving structure system of method of the state function of limit through the artificial neural network. According to having theorem of shining upon by network, close any the pieces of function not continuous insides can be with containing there aren't each for block. Use this theorem, the state equation of limit that fit through the artificial neural network, it produces a large number of limit state function value to shine upon and concern through the function of the neural network, as the next analysis datum. Course this as Monte Carlo to make determinacy calculate, therefore achieve the goal of reducing amount of calculation at all while being every law. The thinking of random sampling that this method has only adopted Monte Carlo law, carry on probability analysis to the data of the large range, receive the mean value of the state function value of limit and standard deviation through probability analysis, in order to try to get the reliability index of the structure system, carry on the systematic reliability analysis of the structure.