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N. Courrier, P.-A. Boucard, B. Soulier, "Construction of a Metamodel Based on Partially Converged Data in the Context of Assembly Design", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 189, 2014. doi:10.4203/ccp.106.189

Keywords: metamodel, multi-fidelity, partially converged data, cokriging..

Summary

This paper is concerned with the use of multi-fidelity strategies to compute an appropriate metamodel (or surrogate model) faster than with the traditional methods. In this paper, what we call multi-fidelity is the possibility to compute data with several level of precision. Multi-fidelity metamodeling refers to the enhanced prediction of the output of a complex system by incorporating auxiliary fast-to-obtain data of lower fidelity. The techniques presented in this paper are available for several level of fidelity but only two levels are used here. The LATIN algorithm (an iterative algorithm) paired with a "multiparametric" strategy is used to compute the different data and their different levels of precision by using an error indicator. Five methods to compute an accurate metamodel with low and high fidelity data are compared using two mechanical examples.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 106 PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: Paper 189 Construction of a Metamodel Based on Partially Converged Data in the Context of Assembly Design N. Courrier, P.-A. Boucard and B. Soulier LMT-Cachan, ENS Cachan, CNRS, PRES, UniverSud Paris Cachan, France doi:10.4203/ccp.106.189 purchase the full-text of this paper Full Bibliographic Reference for this paper N. Courrier, P.-A. Boucard, B. Soulier, "Construction of a Metamodel Based on Partially Converged Data in the Context of Assembly Design", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 189, 2014. doi:10.4203/ccp.106.189 Keywords: metamodel, multi-fidelity, partially converged data, cokriging.. Summary This paper is concerned with the use of multi-fidelity strategies to compute an appropriate metamodel (or surrogate model) faster than with the traditional methods. In this paper, what we call multi-fidelity is the possibility to compute data with several level of precision. Multi-fidelity metamodeling refers to the enhanced prediction of the output of a complex system by incorporating auxiliary fast-to-obtain data of lower fidelity. The techniques presented in this paper are available for several level of fidelity but only two levels are used here. The LATIN algorithm (an iterative algorithm) paired with a "multiparametric" strategy is used to compute the different data and their different levels of precision by using an error indicator. Five methods to compute an accurate metamodel with low and high fidelity data are compared using two mechanical examples. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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