Use of support vector regression in structural optimization: Application to vehicle crashworthiness design

Authors:
Ping Zhu;Feng Pan;Wei Chen;Siliang Zhang
Affiliations:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, PR China and Shanghai Key Laboratory of Digital Autobody Engineering, School of Mechanical ...;Shanghai Key Laboratory of Digital Autobody Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China;Shanghai Key Laboratory of Digital Autobody Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China and Department of Mechanical Engineering, Northw ...;Shanghai Key Laboratory of Digital Autobody Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
Venue:
Mathematics and Computers in Simulation
Year:
2012

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Abstract

Metamodel is widely used to deal with analysis and optimization of complex system. Structural optimization related to crashworthiness is of particular importance to automotive industry nowadays, which involves highly nonlinear characteristics with material and structural parameters. This paper presents two industrial cases using support vector regression (SVR) for vehicle crashworthiness design. The first application aims to improve roof crush resistance force, and the other is lightweight design of vehicle front end structure subject to frontal crash, where SVR is utilized to construct crashworthiness responses. The use of multiple instances of SVR with different kernel types and hyper-parameters simultaneously and select the best accurate one for subsequent optimization is proposed. The case studies present the successful use of SVR for structural crashworthiness design. It is also demonstrated that SVR is a promising alternative for approximating highly nonlinear crash problems, showing a successfully alternative for metamodel-based design optimization in practice.