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00925njm 22002777a 4500 dc Cernuda, Carlos author Llavori, Inigo author Zavoianu, Alexandru-Ciprian author Aguirre, Aitor author Zabala, Alaitz author Plaza, Jon author 2020 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). 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 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