Reliability Analysis of Structures by Neural Network Supported Monte Carlo Methods

  • Joanna Kaliszuk
  • Zenon Waszczyszyn
Part of the Advances in Soft Computing book series (AINSC, volume 19)


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.


Monte Carlo Simulation Ultimate Load Structural Reliability Sampling Monte Carlo Simulation Reliability Curve 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Joanna Kaliszuk
    • 1
  • Zenon Waszczyszyn
    • 2
  1. 1.Department of Civil and Environmental EngineeringUniversity of Zielona GóraZielona GóraPoland
  2. 2.Institute of computer Methods in Civil EngineeringCracow University of TechnologyKrakówPoland

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