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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
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
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..
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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