Sensor Networks, Computer Imaging, and Unit Influence Lines for Structural Health Monitoring: Case Study for Bridge Load Rating
Sensor Networks, Computer Imaging, and Unit Influence Lines for Structural Health Monitoring: Case Study for Bridge Load Rating
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DOI：
10.1061/(asce)be.1943-5592.0000288
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发表时间：
2012-07-01
影响因子：
3.6
通讯作者：
Gokce, Hasan Burak
中科院分区：
文献类型：
--
作者：
Catbas, F. Necati;Zaurin, Ricardo;Gokce, Hasan Burak
本文提出了一种新的桥梁结构健康监测方法，并利用传感器和运营交通的视频图像数据实现了桥梁荷载等级。利用该方法，利用计算机视觉技术对视频图像进行分析，以检测和跟踪过桥车辆。传统的传感器数据与计算机图像相关联，提取单元影响线。在实验室研究的基础上，通过同步视频和传感器数据，可以对不同车辆的关键路段进行UILs提取。在运行交通条件下，可获得桥梁额定荷载的同步计算机视觉和应变测量结果。为此，提出了以下内容：对现实生活中的桥梁进行仪器和监测，并在移动负载下处理现实生活中的数据。此外，还建立了该桥梁的详细有限元模型（FEM），并提供了实验测量结果，以支持该方法的适用性，该方法使用从运营交通中提取的UILs来确定荷载等级。通过对桥梁的有限元分析结果和对桥梁上运行交通的模拟，验证了实际运行交通下桥梁的荷载额定值。通过视频和测量捕获的不同车辆进一步验证了该方法。通过将临界截面的UIL向量与HL-93设计卡车的负载向量相乘，UIL用于额定负载。通过与有限元计算结果的比较，发现两者吻合较好。利用该方法可以有效地提取正常交通条件下桥梁的荷载动态曲线，并获得荷载额定值。DOI: 10.1061 /(陈纯)be.1943 - 5592.0000288。(C) 2012美国土木工程师学会。
In this paper, a novel methodology for structural health monitoring of a bridge is presented with implementations for bridge load rating using sensor and video image data from operating traffic. With this methodology, video images are analyzed by means of computer vision techniques to detect and track vehicles crossing the bridge. Traditional sensor data are correlated with computer images to extract unit influence lines (UILs). Based on laboratory studies, UILs can be extracted for a critical section with different vehicles by means of synchronized video and sensor data. The synchronized computer vision and strain measurements can be obtained for bridge load rating under operational traffic. For this, the following are presented: a real life bridge is instrumented and monitored, and the real-life data are processed under a moving load. A detailed finite-element model (FEM) of the bridge is also developed and presented along with the experimental measurements to support the applicability of the approach for load rating using UILs extracted from operating traffic. The load rating of the bridges using operational traffic in real life was validated with the FEM results of the bridge and the simulation of the operational traffic on the bridge. This approach is further proven with different vehicles captured with video and measurements. The UILs are used for load rating by multiplying the UIL vector of the critical section with the load vector from the HL-93 design truck. The load rating based on the UIL is compared with the FEM results and indicates good agreement. With this method, it is possible to extract UILs of bridges under regular traffic and obtain load rating efficiently. DOI: 10.1061/(ASCE)BE.1943-5592.0000288. (C) 2012 American Society of Civil Engineers.