Few experimental data sets exist in the literature to support the development and evaluation of digital twins predicting structural degradation. The literature is especially sparse for system tests where multiple failures occur and interact. In this work, a laboratory-level experiment is conducted to mimic many of the properties of larger and more complex marine structures with redundant load paths, failure interaction, and component-to-system level integration. In the experiment, such properties are reflected by a hexagon tension specimen with four propagating fatigue cracks tested under displacement-controlled loading. The applied loading cycles and corresponding crack lengths are recorded as the major time-varying data of degradation, with the resisting force at maximum extension used as the system capacity. A novel computer vision method is used to measure the crack length. Strain gauges are also used to monitor the structure’s status. The experimental data is presented and analyzed in this paper. The resulting data sets can be used to evaluate the performance of different digital twin updating approaches.

文献中很少有实验数据集可以支持预测结构退化的数字孪生的发展和评估。对于发生多个故障并相互影响的系统测试，文献尤为稀少。在这项工作中，进行了实验室级的实验，以模拟大型和更复杂的海洋结构的许多特性，这些结构具有冗余的载荷路径，故障相互作用以及部件到系统级的集成。在实验中，这种特性通过六角形拉伸试样反映出来，该试样带有在位移控制载荷下测试的四个传播的疲劳裂纹。所施加的载荷循环和相应的裂纹长度被记录为主要的时变数据，降解时的最大抗力用作系统容量。一种新颖的计算机视觉方法用于测量裂纹长度。应变片也用于监视结构的状态。本文介绍并分析了实验数据。所得数据集可用于评估不同数字孪生更新方法的性能。