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Communication Dans Un Congrès Année : 2017

Multi-Objective and Non-deterministic Optimization of Vehicle Restraint Systems

Résumé

Procedures for Multi-Objective Non-deterministic Optimization (MONO) of complex engineering systems are discussed and the optimization of a Vehicle Restraint System (VRS) is realized with Finite Element (FE) simulation. In the previous studies: performances of a VRS have been tested by crashing with a vehicle and the FE model of the crash test has been created; the critical factors whose uncertainties contribute the most to the performance uncertainties of the VRS have been identified through sensitivity analysis. In this article: the inputs? space of design variables and outputs uncertainties are studied to define design intervals and the constraints of optimization; Kriging interpolation method is used to create the surrogate model and the precision of the surrogate model is estimated with a new approach; uncertainties of the critical factors are considered and the VRS is optimized through MONO with the surrogate model; performances of the optimized device are evaluated under different crash conditions.
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Dates et versions

hal-02266194 , version 1 (13-08-2019)

Identifiants

  • HAL Id : hal-02266194 , version 1

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Gengjian Qian, Michel Massenzio, Denis Brizard, Mohamed Ichchou. Multi-Objective and Non-deterministic Optimization of Vehicle Restraint Systems. 23ème Congrès Français de Mécanique, Aug 2017, LILLE, France. 1 p. ⟨hal-02266194⟩
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