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

机译：复杂工程系统的灵敏度分析：方法研究及其在车辆约束系统碰撞仿真中的应用

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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：受单一工程模型运行的高计算成本和基于采样的敏感性分析（SA）的大量模型运行的限制，定性SA被用于车辆约束系统（VRS）的参数研究，而此类模型的定量SA一直是挑战。针对复杂系统的SA提出了顺序方法，并实现了VRS的SA：讨论了基于采样的SA方法。实现了简单的三点动态弯曲试验模型的安全评价，其目的是比较不同的两级筛选方法，并将其付诸实践。创建了VRS的碰撞测试FE模型，并将其用于SA；通过筛选分析（具有二级筛选的SA和Morris分析）定性确定了VRS的影响不确定参数，并使用Sobol指数通过Kriging元模型量化了影响参数的影响。通过筛选分析和Sobol'指数相结合，确定了对VRS鲁棒性影响最大的不确定参数，并量化了它们的影响。

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