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Bridge Damage Detection Using Quasi-Static Component of Moving Vehicle-Induced Dynamic Response
International Journal of Computational Methods ( IF 1.7 ) Pub Date : 2020-09-04 , DOI: 10.1142/s0219876220420013
Zhiwei Chen 1, 2 , Yigui Zhou 1 , Wen-Yu He 3, 4 , Mengqi Liu 1
Affiliation  

The critical signal component extracted from the bridge response caused by a moving vehicle is normally used to construct damage index for damage detection. The dynamic response of bridges subjected to moving vehicle includes several components, among which the quasi-static component reflects the inherent characteristics of the bridge. In view of this, this paper presents a bridge damage detection method based on quasi-static component of the moving vehicle-induced dynamic response. First, damage-induced changes of the natural-frequency component, moving-frequency component and quasi-static component responses are investigated via a simply-supported beam bridge. The quasi-static component response is proved to be less sensitive to the moving velocity of the load and more suitable for damage detection. Subsequently, a quasi-static component response extraction method is proposed based on analytical mode decomposition (AMD) and moving average filter (MAF). The extracted quasi-static component response is further employed to localize and quantify damages. Finally, numerical simulations are conducted to examine the feasibility, accuracy and advantages of the proposed damage detection method. The results indicated that the proposed method performs well in different damage scenarios and is insensitive to the moving velocity of the load and road roughness.

中文翻译:

使用移动车辆引起的动态响应的准静态分量的桥梁损伤检测

从移动车辆引起的桥梁响应中提取的关键信号分量通常用于构建损伤指标以进行损伤检测。桥梁在车辆行驶时的动力响应包括几个分量,其中准静态分量反映了桥梁的固有特性。有鉴于此,本文提出了一种基于准静态分量的运动车辆动态响应的桥梁损伤检测方法。首先,通过简支梁桥研究了固有频率分量、移动频率分量和准静态分量响应的损伤引起的变化。准静态分量响应被证明对载荷的移动速度不太敏感,更适合于损伤检测。随后,提出了一种基于解析模态分解(AMD)和移动平均滤波器(MAF)的准静态分量响应提取方法。提取的准静态分量响应进一步用于定位和量化损伤。最后,通过数值模拟验证了所提出的损伤检测方法的可行性、准确性和优势。结果表明,所提出的方法在不同的损坏情况下表现良好,并且对载荷的移动速度和道路粗糙度不敏感。所提出的损伤检测方法的准确性和优势。结果表明,所提出的方法在不同的损坏情况下表现良好,并且对载荷的移动速度和道路粗糙度不敏感。所提出的损伤检测方法的准确性和优势。结果表明,所提出的方法在不同的损坏情况下表现良好,并且对载荷的移动速度和道路粗糙度不敏感。
更新日期:2020-09-04
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