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M. Steiner¹, R. Khosravian¹ and T. Lahmer²

¹Research Training Group 1462, Bauhaus-Universität Weimar, Germany
²Institute of Structural Mechanics, Bauhaus-Universität Weimar, Germany

doi:10.4203/ccp.109.1

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M. Steiner, R. Khosravian, T. Lahmer, "Best Use of Metamodels for Data Derived from Civil Engineering Applications", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 1, 2015. doi:10.4203/ccp.109.1

Keywords: metamodeling, surrogate models, regression analysis, polynomial regression, kriging, triaxial test, sensitivity analysis..

Summary

High computation time has arisen as an outstanding obstacle for researchers and engineers of civil engineering problems, especially with the development of computers and new numerical methods. The application of metamodels is one approach of trying to overcome this problem by significantly reducing the computation cost of models, without substantially decreasing the original model's quality. In this survey, a variance-based sensitivity analysis of the finite elements model of a triaxial test is performed using two metamodeling approaches, and judgment is made on the prediction quality of the methods.

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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: 109 PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: Y. Tsompanakis, J. Kruis and B.H.V. Topping Paper 1 Best Use of Metamodels for Data Derived from Civil Engineering Applications M. Steiner¹, R. Khosravian¹ and T. Lahmer² ¹Research Training Group 1462, Bauhaus-Universität Weimar, Germany ²Institute of Structural Mechanics, Bauhaus-Universität Weimar, Germany doi:10.4203/ccp.109.1 purchase the full-text of this paper Full Bibliographic Reference for this paper M. Steiner, R. Khosravian, T. Lahmer, "Best Use of Metamodels for Data Derived from Civil Engineering Applications", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 1, 2015. doi:10.4203/ccp.109.1 Keywords: metamodeling, surrogate models, regression analysis, polynomial regression, kriging, triaxial test, sensitivity analysis.. Summary High computation time has arisen as an outstanding obstacle for researchers and engineers of civil engineering problems, especially with the development of computers and new numerical methods. The application of metamodels is one approach of trying to overcome this problem by significantly reducing the computation cost of models, without substantially decreasing the original model's quality. In this survey, a variance-based sensitivity analysis of the finite elements model of a triaxial test is performed using two metamodeling approaches, and judgment is made on the prediction quality of the methods. purchase the full-text of this paper (price £20) go to the next paper return to the table of contents return to the book description purchase this book (price £50 +P&P)
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