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Sensitivity analysis of complex engineering systems: Approaches study and their application to vehicle restraint system crash simulation

机译:复杂工程系统的敏感性分析:方法研究及其在车辆克制系统崩溃模拟中的应用

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摘要

Restricted by high calculation cost of single engineering model run and large number of model runs for sampling based Sensitivity Analysis (SA), qualitative SA are used for parameter study of the Vehicle Restraint System (VRS) and quantitative SA of such models has always been a challenge. Sequential approaches are proposed for SA of complex systems and the SA of a VRS is realized: sampling-based SA methods are discussed; SA of a simple three points dynamic bending test model is realized, the aims are to compare different two-level screening methods and put into practice the sequential SA; crash test FE model of a VRS is created and used for SA; influential uncertain parameters of the VRS are identified qualitatively through screening analyses (SA with Two-level screening and Morris Analysis), and Sobol' indices are used to quantify the influence of influential parameters with Kriging metamodeling. The uncertain parameters which contribute the most to robustness of the VRS are identified and their influences are quantified by combining screening analyses and Sobol' Indices.
机译:由单工程模型的高计算成本限制,基于采样的采样的敏感性分析(SA),定性SA用于车辆约束系统(VRS)的参数研究,这些模型的定量SA一直是一个挑战。为复杂系统的SA提出了顺序方法,实现了VRS的SA:讨论了基于采样的SA方法;一个简单的三点动态弯曲测试模型的SA实现了,目的是比较不同的两级筛选方法,并将顺序SA实践;创建VRS的崩溃测试FE模型并用于SA;通过筛选分析(具有两级筛选和莫里斯分析的SA)定性地识别VRS的影响不确定参数,并且Sobol'指数用于量化有影响的参数与克里格元模糊的影响。识别出贡献VR​​S的鲁棒性的不确定参数,并通过组合筛选分析和索尔索赔来量化它们的影响。

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