International Journal of Fatigue ( IF 6 ) Pub Date : 2020-12-29 , DOI: 10.1016/j.ijfatigue.2020.106116 Michael Burger , Klaus Dreßler , Michael Speckert
Durability engineering for vehicles is about relating the real operational loading and fatigue environment to the actual capability and strength capacity of the product and its parts. The statistical modelling of the usage loading distribution has always been a big challenge; the latter is necessary to derive statistically validated design targets. In the past, dedicated durability measurement campaigns were the only available data source to obtain durability loads. Nowadays, this has changed due to the increasing availability of new complementary data sources. We show how such data like field monitoring data and geographic data, along with the usage of new data analytics and simulation methods can be used to derive customer and usage related durability loads and targets.
中文翻译:
使用新数据源和数据分析进行耐久性设计的载荷假设过程
车辆的耐久性工程旨在将实际的工作负荷和疲劳环境与产品及其零件的实际能力和强度能力联系起来。使用负载分布的统计建模一直是一个很大的挑战;后者对于获得经统计验证的设计目标是必要的。过去,专门的耐久性测量活动是获得耐久性载荷的唯一可用数据源。如今,由于新的补充数据源的可用性越来越高,这种情况已经改变。我们展示了诸如现场监测数据和地理数据之类的数据,以及新数据分析和模拟方法的使用如何可用于得出与客户和使用相关的耐用性负载和目标。