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Critical analysis of the suitability of surrogate models for finite element method application in catalog-based suspension bushing design.

Cernuda, Carlos; Llavori, Iñigo; Zăvoianu, Alexandru-Ciprian; Aguirre, Aitor; Zabala, Alaitz; Plaza, Jon

Authors

Carlos Cernuda

Iñigo Llavori

Aitor Aguirre

Alaitz Zabala

Jon Plaza



Abstract

This work presents a critical analysis of the suitability of surrogate models for finite element method application. A case study of a finite element method (FEM) structural problem was selected in order to test the performance of surrogate algorithms. A simple design of experiments (DoE) approach, based on 1D kernel density estimations, is employed to construct a representative pool of real FEM simulations, which becomes the dataset for five different surrogate models, two linear and three non-linear, whose most relevant hyperparameters were tuned (model selection). Results in a real bushing case study show that surrogate models can accurately mimic FEM simulations outcomes, in this case four types of stiffnesses (axial, radial, torsion, and cardanic).

Citation

CERNUDA, C., LLAVORI, I., ZĂVOIANU, A.-C., AGUIRRE, A., ZABALA, A. and PLAZA, J. 2020. Critical analysis of the suitability of surrogate models for finite element method application in catalog-based suspension bushing design. In Proceedings of 25th Institute of Electrical and Electronics Engineers (IEEE) Emerging technologies and factory automation international conference 2020 (ETFA 2020), 8-11 September 2020, Vienna, Austria. Piscataway: IEEE [online], article ID 9212166, pages 829-836. Available from: https://doi.org/10.1109/ETFA46521.2020.9212166

Conference Name 25th Institute of Electrical and Electronics Engineers (IEEE) Emerging technologies and factory automation international conference 2020 (ETFA 2020)
Conference Location Vienna, Austria
Start Date Sep 8, 2020
End Date Sep 11, 2020
Acceptance Date Jun 4, 2020
Online Publication Date Sep 8, 2020
Publication Date Oct 5, 2020
Deposit Date Oct 13, 2020
Publicly Available Date Oct 13, 2020
Publisher Institute of Electrical and Electronics Engineers
Pages 829-836
Series ISSN 1946-0759
DOI https://doi.org/10.1109/ETFA46521.2020.9212166
Keywords Design of experiments; Surrogate model; Finite element method; Bushing; Support vector regression; Random forest
Public URL https://rgu-repository.worktribe.com/output/976017

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