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首页> 外文期刊>Transactions of the Canadian Society for Mechanical Engineering >DURABILITY TESTS: statistical analysts for variable amplitude loads
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DURABILITY TESTS: statistical analysts for variable amplitude loads

机译:耐久性测试:可变幅度负载的统计分析师

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The reduced time available for product evolution has forced original equipment manufacturers and their suppliers to develop new components and subsystems more rapidly, while taking into consideration the reliability of the final product in terms of its durability. Although durability is nowadays improved through virtual testing, it is mandatory to perform experimental tests for the final release of a product. The complexity of this kind of testing has increased. In the early 20th century, evaluations began to represent a real life time history with standardized load-time histories. This coincided with the introduction of the closed-loop test system to reproduce more realistic time histories. Most tier-1 suppliers perform such testing at their own development centers or at consultant test facilities; however, design engineers and product management need to understand the requirements of the testing and be able to interpret the results to understand how to improve a mechanical component. Most papers published on durability give experimental results for constant-amplitude loads and analytical predictions. However, information on tests with time histories and statistical analysis is very often missing. The present paper reviews the main aspects of durability tests for variable-amplitude loads, including the main statistical analysis conducted to reproduce damage to vehicles traveling on roads and proving grounds in the laboratory.
机译:可用于产品进化的减少时间已强制原始设备制造商及其供应商,更快地开发新的组件和子系统,同时考虑到最终产品的可靠性,在其耐用性方面。尽管现在通过虚拟测试改善了耐用性,但是必须对产品的最终释放进行实验测试是强制性的。这种测试的复杂性增加了。在20世纪初,评估开始代表具有标准化负载时间历史的现实生活时间历史。这与引入闭环测试系统的引入重现了更现实的时间历史。大多数Tier-1供应商在自己的开发中心或顾问测试设施中进行此类测试;但是,设计工程师和产品管理需要了解测试的要求,并能够解释结果,了解如何改进机械组件。发表于耐用性的大多数论文给出了恒定幅度载荷和分析预测的实验结果。但是,有关时间历史和统计分析的测试的信息通常丢失。本文审查了可变幅度负荷的耐久性测试的主要方面,包括对在道路上行驶的车辆造成损坏以及在实验室中进行造成的主要统计分析。

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