2026-04-07T17:02:19Zhttps://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

Cernuda, Carlos Llavori, Inigo Zavoianu, Alexandru-Ciprian Aguirre, Aitor Zabala, Alaitz Plaza, Jon 2025-04-15T11:12:00Z 2025-04-15T11:12:00Z 2020 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 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). eng © 2020 IEEE Design of Experiments Surrogate model Finite Element Method Bushing Support vector regression Random Forest Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design http://purl.org/coar/resource_type/c_c94f