2022
DOI: 10.1108/ec-05-2021-0271
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An evolutionary structural optimization algorithm for the analysis of light automobile parts using a meshless technique

Abstract: PurposeThe purpose of the present work is to develop the combination of the radial point interpolation method (RPIM) with a bi-directional evolutionary structural optimization (BESO) algorithm and extend it to the analysis of benchmark examples and automotive industry applications.Design/methodology/approachA BESO algorithm capable of detecting variations in the stress level of the structure, and thus respond to those changes by reinforcing the solid material, is developed. A meshless method, the RPIM, is used… Show more

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Cited by 3 publications
(2 citation statements)
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References 52 publications
(108 reference statements)
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“…Recent progress spans diverse areas, incorporating a mesh-less technique for BESO [100], the development of a parallel framework tailored for BESO [101], the fusion of IGA with BESO [102], and the application of reinforcement learning alongside BESO [103,104].…”
Section: To Discrete Design Space Methods 221 the Eso Methodsmentioning
confidence: 99%
“…Recent progress spans diverse areas, incorporating a mesh-less technique for BESO [100], the development of a parallel framework tailored for BESO [101], the fusion of IGA with BESO [102], and the application of reinforcement learning alongside BESO [103,104].…”
Section: To Discrete Design Space Methods 221 the Eso Methodsmentioning
confidence: 99%
“…A multitude of recent works were also found: LSM with BESO [142], phase-field method with BESO [143], nonlinear structures under dynamic loads [144], non-linear reliability TO [145], buckling TO [146], fatigue considerations [147], crashworthiness TO with BESO [148], frequency optimisation [149,150], BESO with casting constraints [61], and BESO with AM constraints [151][152][153][154][155][156]. Other interesting works are the Iso-Geometric Analysis (IGA) approach with BESO [157], a meshless BESO technique [158], and a parallel framework for BESO [159].…”
Section: Evolutionary Structural Optimisation Methodsmentioning
confidence: 99%