Erduran Emrah, Gonen Semih
Department of Built Environment, Oslo Metropolitan University, 0166 Oslo, Norway.
Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain.
Sensors (Basel). 2024 Sep 5;24(17):5785. doi: 10.3390/s24175785.
Vehicle scanning methods are gaining popularity because of their ability to identify modal properties of several bridges with only one instrumentation setup, and several methods have been proposed in the last decade. In the numerical models used to develop and validate such methods, bridge damping is often overlooked, and its impact on the efficacy of vehicle scanning methods remains unknown. The present article addresses this knowledge gap by systematically investigating the effects of bridge damping on the efficacy of vehicle scanning methods in identifying the modal properties of bridges. For this, acceleration responses obtained from a numerical model of a bridge and vehicle are used. Four different scenarios are considered where vehicle damping, presence of road roughness, and traffic on the bridge are varied. Bridge damping is modeled using mass-proportional, stiffness-proportional, and Rayleigh damping models. The impacts of ignoring bridge damping or considering one of these damping models on the modal frequencies and mode shapes identified using the vehicle response are investigated by comparing the results. The outcomes of the numerical analysis show that ignoring bridge damping in vehicle scanning applications can significantly increase the efficacy of these methods. They also show that the identifiability of the bridge frequencies and bridge mode shapes from the vehicle response decreases significantly when bridge damping is considered. Further, the damping model used impacts which bridge modes can be identified because different damping models provide different modal damping ratios for each mode. The results highlight the importance of correctly simulating damping behavior of bridges, which is often ignored, to be able to correctly evaluate the efficacy of vehicle scanning methods, and they provide an important stepping stone for future studies in this field.
车辆扫描方法因其仅通过一次仪器设置就能识别多座桥梁的模态特性而越来越受欢迎，并且在过去十年中已经提出了几种方法。在用于开发和验证此类方法的数值模型中，桥梁阻尼常常被忽视，其对车辆扫描方法有效性的影响仍然未知。本文通过系统研究桥梁阻尼对车辆扫描方法识别桥梁模态特性有效性的影响来填补这一知识空白。为此，使用了从桥梁和车辆的数值模型获得的加速度响应。考虑了四种不同的情况，其中车辆阻尼、路面不平度的存在以及桥上的交通情况有所变化。桥梁阻尼使用质量比例、刚度比例和瑞利阻尼模型进行建模。通过比较结果，研究了忽略桥梁阻尼或考虑这些阻尼模型之一对使用车辆响应识别的模态频率和振型的影响。数值分析结果表明，在车辆扫描应用中忽略桥梁阻尼会显著提高这些方法的有效性。结果还表明，当考虑桥梁阻尼时，从车辆响应中识别桥梁频率和桥梁振型的可识别性会显著降低。此外，所使用的阻尼模型会影响可以识别哪些桥梁模态，因为不同的阻尼模型为每个模态提供不同的模态阻尼比。结果强调了正确模拟桥梁阻尼行为的重要性，而这一点常常被忽视，以便能够正确评估车辆扫描方法的有效性，并且它们为该领域的未来研究提供了重要的基石。
