Iterative RBF ANN response surface method for structural reliability analysis

作者：Jiang Xiang Hua^*; Yang Xiao Guang; Wang Yan Rong

来源：Journal of Aerospace Power, 2008, 23(1): 26-31.

• Aerospace propulsion system
• Iterative convergence speed
• Performance function
• Radial basis function
• Response surface method

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 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.

• 出版日期2008
• 单位北京大学