2026-04-07T11:46:01Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/69612025-04-16T06:15:35Zcom_20.500.11984_1143col_20.500.11984_1148

Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design Cernuda, Carlos Llavori, Inigo Zavoianu, Alexandru-Ciprian Aguirre, Aitor Zabala, Alaitz Plaza, Jon Design of Experiments Surrogate model Finite Element Method Bushing Support vector regression Random Forest 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). 2025-04-15T11:12:00Z 2025-04-15T11:12:00Z 2020 http://purl.org/coar/resource_type/c_c94f 978-1-7281-8956-7 1946-0759 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=162596 https://hdl.handle.net/20.500.11984/6961 eng © 2020 IEEE IEEE