Reliability Analysis of Structures by Neural Network Supported Monte Carlo Methods
A forward neural network is used for generating samples in the Monte Carlo Methods. The patterns for network training and testing are computed by a FE program. A high numerical efficiency of the proposed approach is demonstrated on example of a plane multistorey elastoplastic frame.
KeywordsMonte Carlo Simulation Ultimate Load Structural Reliability Sampling Monte Carlo Simulation Reliability Curve
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