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 language | English |
|---|---|
| Title of host publication | Proceedings of the 11th International Conference on Computational Structures Technology, CST 2012 |
| Publisher | Civil-Comp Press |
| Number of pages | 16 |
| Volume | 99 |
| ISBN (Print) | 9781905088546 |
| Publication status | Published - 7 Sep 2012 |
| Event | 11th International Conference on Computational Structures Technology, CST 2012 - Dubrovnik, Croatia Duration: 4 Sep 2012 → 7 Sep 2012 |
Conference
| Conference | 11th International Conference on Computational Structures Technology, CST 2012 |
|---|---|
| Country | Croatia |
| City | Dubrovnik |
| Period | 4/09/12 → 7/09/12 |
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.