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A parametric and non-intrusive reduced order model of car crash simulation

机译：汽车碰撞仿真的参数化非侵入式降阶模型

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摘要

Industrials have an intensive use of numerical simulations in order to avoid physical testing and to speed up the design stages of their products. The numerical testing is indeed quicker to set-up, less expensive, and supplies a lot of information about the system under study. Moreover, it can be much closer to the physical tests as the computation power increases. Despite the rise of this power, time consuming simulations remain challenging to be used in design process, especially in an optimization study. Crash simulations belong to this category. These rapid dynamic computations are used by RENAULT during the sizing of the vehicle structure in order to ensure that it meets specifications set up to reach safety criteria in case of accidents. They are completed using finite element software such as VPS (Virtual Performance Solver) developed by ESI group that will be used in this study. For car manufacturers, the goal of the optimization study is to minimize the mass of the vehicle (and thus its consumption) by modifying the thicknesses of some parts (from 20 to 100 variables). Industrials such as RENAULT currently perform optimization studies based on numerical design of experiments. The number of computations required by this technique is from 3 to 10 times the number of variables. This is too much in order to be intensively used in a design process.
机译：工业界大量使用数值模拟，以避免物理测试并加快其产品的设计阶段。数值测试的确可以更快地建立，更便宜，并且可以提供有关所研究系统的大量信息。此外，随着计算能力的提高，它可能更接近物理测试。尽管此功能得到了提高，但是耗时的仿真仍然难以在设计过程中使用，特别是在优化研究中。崩溃模拟属于这一类。 RENAULT在确定车辆结构尺寸时会使用这些快速的动态计算，以确保其符合为在发生事故时达到安全标准而设定的规格。它们是使用有限元软件完成的，例如由ESI Group开发的VPS（虚拟性能求解器），该软件将在本研究中使用。对于汽车制造商而言，优化研究的目标是通过修改某些零件的厚度（从20到100可变）来使车辆的质量（从而减少其消耗）最小化。像RENAULT这样的行业目前正在根据实验的数值设计进行优化研究。此技术所需的计算数量是变量数量的3到10倍。为了在设计过程中集中使用，这太多了。

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