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Robustness optimization for vehicular crash simulations

机译:车辆碰撞仿真的鲁棒性优化

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摘要

Over the past 10 years (1990-2000), the computer analysis of vehicle crashworthiness has become a powerful and effective tool, reducing the cost and time to market of new vehicles that meet corporate and government crash safety requirements. Crash simulation is fundamentally computation-intensive, and it requires fast and powerful supercomputers to ensure reasonable turnaround time for the analyses. Because the explicit FE method is computationally efficient, researchers generally prefer it for crash simulation. Explicit FE codes are available from several third-party mechanical computer aided engineering (CAE) software vendors, and the major automotive manufacturers, including Ford Motor Company, use them for crash simulation. The article focuses on how this technology has been extended to perform design optimization and robustness assessment.
机译:在过去的十年(1990-2000年)中,计算机对撞车事故的分析已成为一种功能强大且有效的工具,可降低满足公司和政府撞车安全要求的新车的成本和上市时间。碰撞仿真从根本上讲是计算密集型的,它需要快速而强大的超级计算机来确保合理的分析时间。由于显式有限元方法在计算上很有效,因此研究人员通常更喜欢将其用于碰撞仿真。一些第三方机械计算机辅助工程(CAE)软件供应商可提供明确的FE代码,主要的汽车制造商(包括福特汽车公司)将其用于碰撞仿真。本文重点介绍如何扩展该技术以执行设计优化和鲁棒性评估。

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