Roof-Crush Protection Design of Automotive Bodies Using Clustering and Pattern Recognition

Roof-Crush Protection Design of Automotive Bodies Using Clustering and Pattern Recognition

Computer-aided engineering (CAE) tools play an indispensable role in the vehicle development process. However, it is difficult to accurately predict the relationships and behavior of automotive bodies in vehicle crashes owing to high-order nonlinearity and numerous design variables of the automotive...

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Bibliographic Details
Main Authors:	Yong-Sang Shin, Hyo-Jun Eun, Yong-Ju Chu, Seung-Yop Lee
Format:	Article
Language:	English
Published:	MDPI AG 2019-04-01
Series:	Applied Sciences
Subjects:	clustering pattern recognition machine learning optimum design vehicle roof crush
Online Access:	https://www.mdpi.com/2076-3417/9/7/1437

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