Abstract
We describe and discuss methods for nonlinear metamodeling of simulation databases featuring continuous exploration of simulation results, tolerance prediction, sensitivity analysis, and rapid interpolation of bulky FEMdata. Themethods have been implemented in the design-parameter optimization tool DesParO. Reallife applications from the automotive industry show their efficiency.
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© 2012 Springer-Verlag Berlin Heidelberg
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Nikitin, I., Nikitina, L., Clees, T. (2012). Nonlinear Metamodeling of Bulky Data and Applications in Automotive Design. In: Günther, M., Bartel, A., Brunk, M., Schöps, S., Striebel, M. (eds) Progress in Industrial Mathematics at ECMI 2010. Mathematics in Industry(), vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25100-9_34
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DOI: https://doi.org/10.1007/978-3-642-25100-9_34
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