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Interval-Based Uncertain Multi-Objective Optimization Design of Vehicle Crashworthiness

F.Y.Li1,2, G.Y.Li1

State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha City, P. R. China 410082
Corresponding author. Email: lfy703@sina.com

Computers, Materials & Continua 2010, 15(3), 199-220. https://doi.org/10.3970/cmc.2010.015.199

Abstract

In this paper, an uncertain multi-objective optimization method is suggested to deal with crashworthiness design problem of vehicle, in which the uncertainties of the parameters are described by intervals. Considering both lightweight and safety performance, structural weight and peak acceleration are selected as objectives. The occupant distance is treated as constraint. Based on interval number programming method, the uncertain optimization problem is transformed into a deterministic optimization problem. The approximation models are constructed for objective functions and constraint based on Latin Hypercube Design (LHD). Thus, the interval number programming method is combined with the approximation model to solve the uncertain optimization problem of vehicle crashworthiness efficiently. The present method is applied to two practical full frontal impact (FFI) problems.

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APA Style
F.Y.Li, , G.Y.Li, (2010). Interval-based uncertain multi-objective optimization design of vehicle crashworthiness. Computers, Materials & Continua, 15(3), 199-220. https://doi.org/10.3970/cmc.2010.015.199
Vancouver Style
F.Y.Li , G.Y.Li . Interval-based uncertain multi-objective optimization design of vehicle crashworthiness. Comput Mater Contin. 2010;15(3):199-220 https://doi.org/10.3970/cmc.2010.015.199
IEEE Style
F.Y.Li and G.Y.Li, “Interval-Based Uncertain Multi-Objective Optimization Design of Vehicle Crashworthiness,” Comput. Mater. Contin., vol. 15, no. 3, pp. 199-220, 2010. https://doi.org/10.3970/cmc.2010.015.199



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This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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