关键词: 模块结构；整体结构；神经网络；失效模式分析

Abstract:

Integer structure was divided into some module structures according to topological connection. Comparing with integer structure，module structure
was easily analyzed because of briefness structure，and the computation speed was
improved. Module structure was computed on element stiffness matrix based on load transfer behavior and displacement compatibility conditions.Integer structure was computed on node balanced equation. Thus information of module structure was gained. Module structure information was considered as input data and integer structure information was
considered as output data. Thus specimen was built on input data and output data. Using the nonlinear mapping capability, neural network structure with interpolation and extrapolation was gained by training specimen. So integer structure recomputed can be replaced by module structure computed.Rules of correspondence between integer structure and module structure under equivalent load were built on integer structure with six module structures as an instance.Integer structure with eight module structures was analyzed by neural network extrapolation. Integer structure with four module structures was analyzed by neural network interpolation.All of designs have perfect computing precision contrasting with optimization criteria. 

Key words: module structure；integer structure；neural network；failure mode analysis