Structural reliability index for response surface method of RBF ANN was developed

which could resolve the error of structural reliability when the structure performance function was nonlinear or the variables were nonnormally distributed.An improved approach named as iterative radial basis function(RBF) artificial neural network(ANN) response surface method(RSM) was characterized by rapid iterative convergence speed

higher calculation accuracy and simple process.This method allows for reliability analysis and design of structure comprising multiple random variables

especially when the structure performance function is highly nonlinear or the variables are nonnormally distributed.