An open computational framework for reliability based optimization

E. Patelli, M. De Angelis

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

This paper presents an open computational framework for reliability based. The framework has been designed to provide the maximum flexibility allowing the state of the art in reliability analysis (e.g. adopting advanced Monte Carlo methods) to be combined in the direct approach as well as in the construction of the different type of meta-models (e.g. response surface, artificial neural networks, kriging model and polynomial chaos, etc.). A set of widely used gradient-based and gradient-free optimization algorithms are also available for performing the optimization step as well as high performance computing capability. Numerical applications show the applicability and flexibility of the proposed framework for solving real-life problems.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Computational Structures Technology, CST 2012
PublisherCivil-Comp Press
Number of pages16
Volume99
ISBN (Print)9781905088546
Publication statusPublished - 7 Sep 2012
Event11th International Conference on Computational Structures Technology, CST 2012 - Dubrovnik, Croatia
Duration: 4 Sep 20127 Sep 2012

Conference

Conference11th International Conference on Computational Structures Technology, CST 2012
CountryCroatia
CityDubrovnik
Period4/09/127/09/12

Keywords

  • high performing computing
  • Matlab
  • meta modelling
  • numerical methods
  • open source
  • reliability based optimization

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  • Cite this

    Patelli, E., & De Angelis, M. (2012). An open computational framework for reliability based optimization. In Proceedings of the 11th International Conference on Computational Structures Technology, CST 2012 (Vol. 99). Civil-Comp Press.