Feasibility Study of Earthquake-Induced Damage Assessment for Structures by Utilizing Images from Surveillance Cameras

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Structural Control & Health Monitoring Pub Date : 2024-05-14 DOI:10.1155/2024/4993972
Jing Zhou, Linsheng Huo, Chen Huang, Zhuodong Yang, Hongnan Li
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Abstract

Rapid and accurate structural damage assessment after an earthquake is important for efficient emergency management. The widespread application of surveillance cameras provides a new possibility for improving the efficiency of assessment. However, it is still challenging to directly assess the structural seismic damage based on videos captured by indoor surveillance cameras during earthquakes. In this study, we elaborate on the concept of estimating the structural natural frequency based on the relative pixel displacement of inter-stories. Furthermore, we propose a strategy for post-earthquake structural damage assessment that integrates the computer vision and time-frequency analysis. This approach aims to navigate the difficulties inherent in earthquake damage assessment and improve emergency responses. The relative pixel displacement between the camera and the fixed features on the floor is extracted from videos by using the Harris corner detection and Kanade–Lucas–Tomasi algorithms. The structural natural frequency is estimated using the synchroextracting transform-enhanced empirical wavelet transform. The natural frequency shift-related seismic damage index is defined and calculated for damage assessment. A shake table experiment of a small-scale steel model is conducted to verify the accuracy and feasibility of the approach, and the practicality of the proposed approach is further verified by utilizing the data from a full-scale reinforced concrete benchmark model experiment. The results demonstrate that the approach can accurately and efficiently evaluate the structural damage after an earthquake based on the video captured by surveillance cameras during the earthquake. The error of the acquired damage index is less than 0.1. We will apply more advanced algorithms in the future to alleviate this problem.

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利用监控摄像机图像评估地震对建筑物造成破坏的可行性研究
地震发生后,快速准确地评估结构损坏情况对于有效的应急管理非常重要。监控摄像机的广泛应用为提高评估效率提供了新的可能。然而,根据室内监控摄像机在地震中捕捉到的视频来直接评估结构性地震破坏仍然具有挑战性。在本研究中,我们阐述了基于层间相对像素位移估算结构固有频率的概念。此外,我们还提出了一种将计算机视觉和时频分析相结合的震后结构损坏评估策略。这种方法旨在克服地震破坏评估中固有的困难,改善应急响应。利用哈里斯角检测和 Kanade-Lucas-Tomasi 算法从视频中提取摄像机与地板上固定特征之间的相对像素位移。使用同步提取变换增强经验小波变换估算结构固有频率。定义并计算了与固有频率偏移相关的地震损伤指数,用于损伤评估。为验证该方法的准确性和可行性,对小型钢结构模型进行了振动台实验,并利用全尺寸钢筋混凝土基准模型实验数据进一步验证了所提方法的实用性。结果表明,该方法可以根据地震期间监控摄像机拍摄的视频,准确有效地评估地震后的结构损坏情况。获得的破坏指数误差小于 0.1。今后,我们将采用更先进的算法来解决这一问题。
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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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