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Fatigue tests for automotive design: optimization of the test protocol and improvement of the fatigue strength parameters estimation

机译:汽车设计疲劳试验:优化试验协议和疲劳强度参数估计的改进

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Despite of continuous improvement of numerical computations, experimental fatigue tests are still of prior concern for high safety level parts, in particular for the automotive industry. Destructive fatigue tests are required in order to prove to authorities an effective fatigue design by highlighting the weakest link and its failure mode, and possibly taking account for the manufacturing process influence. Actually, experimental tests need for expensive means (i.e. rigs and specimens) and fatigue phenomenon is expected to take long time to get a crack issue. Thus, cost and delay time reduction always calls for more effective methods. Within this framework, we address here some recent improvements dealing with, respectively: a) the optimization of the fatigue test protocol, i.e. how the load time history is applied to the specimen in order to minimize the overall fatigue test duration; b) the reliability of the fatigue strength estimation, i.e. how the experimental data are considered in a reliable statistical model. The first point let us focus on a so-called Locati fatigue test protocol, whereas the second point let us make use of Maximum Likelihood and Baycsian techniques. These improvements are currently and successfully applied to chassis system parts at PSA Peugeot Citroen.
机译:尽管数值计算不断改进,但实验疲劳试验仍然是对高安全水平零件的令人担忧的,特别是对于汽车工业。需要破坏性疲劳测试,以便通过突出最薄弱的链接及其故障模式来证明当局有效的疲劳设计,并且可能考虑到制造过程影响。实际上,实验测试需要昂贵的方式(即钻机和标本),并且预计疲劳现象需要很长时间才能获得裂缝问题。因此,降低成本和延迟时间始终要求更有效的方法。在此框架内,我们在此处解决了最近的一些改进,分别处理了:a)疲劳试验方案的优化,即负载时间历史如何应用于样本以最小化整体疲劳测试持续时间; b)疲劳强度估计的可靠性,即如何在可靠的统计模型中考虑实验数据。第一点让我们专注于所谓的基本基地疲劳测试协议,而第二点让我们利用最大可能性和Baycsian技术。这些改进目前并成功地应用于PSA标致雪铁龙的底盘系统零件。

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