Year: 2025
Type: article
Abstract: In this study, structural optimization of an enclosure under bending and torsional constraints was carried out. Machine learning (ML) approach was used to calculate the objective and constraint functions in the optimization problem. The ML model was trained and validated with data obtained from finite element analyses. The optimization model was then solved by the differential evolution algorithm. Five thicknesses, which are the design parameters in the enclosure, were optimized for minimum mass, and according to the results, the enclosure’s mass decreased by 18.29%.
Source: Makina Tasarım ve İmalat Dergisi
Authors: Burak Aydoğdu, Fatih Karpat, Necmettin Kaya
Institution: Bursa Uludağ Üni̇versi̇tesi̇
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Award: G3927350283
OpenAlex ID: W4410733211