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Latest revision as of 08:46, 20 July 2022
Abstract
The structural strength evaluation of crash boxes is predicted by machine learning in this study. The training data was obtained from the dynamic elastic plastic analysis of the crash box. The input physical quantities are barrier angle, box thickness, material properties and mass equivalent to vehicle weight. The output physical quantity is the reaction force. Buckling occurs in the analysis and different directions of corruptions are one of the most interesting phenomenon from a point of engineering view.
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Published on 06/07/22
Submitted on 06/07/22
Volume 1700 Data Science, Machine Learning and Artificial Intelligence, 2022
DOI: 10.23967/wccm-apcom.2022.031
Licence: CC BY-NC-SA license
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