Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6879
Title: Improving the accuracy of vehicle crashworthiness response predictions using an ensemble of metamodels
Authors: Acar, Erdem
Solanki, Kiran N.
Keywords: metamodelling
ensemble
automobile
crashworthiness
side impact
offset-frontal impact
finite element analysis
Issue Date: 2009
Publisher: Taylor & Francis Ltd
Abstract: Due to the scale and computational complexity of current simulation codes for vehicle crashworthiness analysis, metamodels have become indispensable tools for exploring and understanding the design space. Traditional application of metamodelling techniques is based on constructing multiple types of metamodels based on a common data set, selecting the most accurate one and discarding the rest. However, this practice does not take full advantage of the resources devoted for constructing different metamodels. This drawback can be overcome by combining individual metamodels in the form of an ensemble. Two case studies with a high-fidelity finite element vehicle model subject to offset-frontal and side impact conditions are presented for demonstration. The prediction accuracies of the individual metamodels and the ensemble of metamodels are compared, and it is found for all the crash responses of interest that the ensemble of metamodels outperforms all individual metamodels. It is also found that as the number of metamodels included in the ensemble increases, the prediction accuracy of the ensemble of metamodels increases.
URI: https://doi.org/10.1080/13588260802462419
https://hdl.handle.net/20.500.11851/6879
ISSN: 1358-8265
1754-2111
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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