In consideration of significant uncertainties arising from the degradation of in-service train-slab track-bridge coupled systems and the limitation in accurately reproducing track irregularities using prescribed track spectra, this study presents a novel framework to establish a digital twin for dynamics of an in-service train-slab track-bridge coupled system to best simulate and predict its dynamic behavior and performance during its operation. The train-slab track-bridge coupled system of a railway test line is taken as a physical entity and subjected to field measurements. The design-document-based virtual entity (numerical model) of the train-slab track-bridge coupled system is then established. A model updating procedure is subsequently proposed for the virtual entity based on the dynamic characteristics identified from the physical entity, and a track irregularity spectrum recognition method is developed in terms of the measured dynamic responses and optimization algorithm, thereby leading to the digital twin establishment. The established digital twin is finally used to simulate and predict the coupled vibration of the train-slab track-bridge system and compare with the measurement results. The results demonstrate the feasibility and accuracy of the digital twin and its prediction capability.

中文翻译：

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用于火车-板式轨道-桥梁耦合系统动力学的数字孪生


考虑到在役列车-平板轨道-桥梁耦合系统退化所带来的重大不确定性以及使用规定轨道频谱准确再现轨道不规则性的局限性，本研究提出了一种新的框架来建立在役列车-平板轨道-桥梁耦合系统动力学的数字孪生，以最好地模拟和预测其在运行过程中的动态行为和性能。将铁路测试线的火车-平板轨道-桥梁耦合系统作为一个物理实体进行现场测量。然后建立了基于设计文档的列车-平板轨道-桥梁耦合系统的虚拟实体（数值模型）。随后，根据从物理实体中识别出的动态特性，为虚拟实体提出了模型更新程序，并根据实测的动态响应和优化算法开发了航迹不平顺谱识别方法，从而建立了数字孪生。最后，利用建立的数字孪生对列车-平板轨道-桥梁系统的耦合振动进行仿真和预测，并与测量结果进行比较。结果证明了数字孪生的可行性和准确性及其预测能力。