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Communication Dans Un Congrès Année : 2016

Global Sensitivity Analysis of Vehicle Restraint Systems with Screening Methods and Sobol' Indices

Résumé

Restricted by model complexity and high number of model runs for sampling-based Sensitivity Analysis (SA), qualitative SA methods are widely used for parameter study of complex engineering models (i.e. numerical model of high calculation cost with multiple variables) and quantitative SA of such models has always been a challenge. This work explores the approaches for SA of complex engineering systems and carries out quantitative SA of Vehicle Restraint System (VRS): Influential factors of VRS model were identified through screening analysis (qualitative SA with 2-level screening method and Morris method); The non-influential parameters can be fixed and reduction of inputs variables makes it possible for quantitative SA of VRS, Variance-based SA method (SOBOL' indices) was used to quantify the influence of the influential factors, and metamodel technology --- Kriging interpolation --- was used to generate surrogate model to facilitate the quantitative SA. The factors which contribute most for the robustness of VRS were identified and their influences for model uncertainties were quantified by combining screening analysis and Variance-based SA.
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Dates et versions

hal-04250016 , version 1 (19-10-2023)

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Citer

Gengjian Qian, Michel Massenzio, Mohamed Ichchou. Global Sensitivity Analysis of Vehicle Restraint Systems with Screening Methods and Sobol' Indices. ICMCE '16: 5th International Conference on Mechatronics and Control Engineering, 5th International Conference on Mechatronics and Control Engineering, Dec 2016, Venice Italy, Italy. pp.47-51, ⟨10.1145/3036932.3036940⟩. ⟨hal-04250016⟩
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