Bridge Column Maximum Drift Estimation via Computer Vision
Bridge Column Maximum Drift Estimation via Computer Vision
复制标题
通过计算机视觉估计桥柱最大位移
DOI：
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复制
发表时间：
2016
影响因子：
6.9
通讯作者：
Olafur S Haraldsson
中科院分区：
文献类型：
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作者：
D. Lattanzi;G. Miller;M. Eberhard;Olafur S Haraldsson
摘要本文考虑了应用计算机视觉技术估计受损桥柱的峰值地震位移，用于灾后分流评估的可行性。相关研究的主要目的是确定地震峰值位移和从事件后捕获的二维(2D)图像中提取的损伤观测值之间是否存在统计上的可靠关系。为此，通过对一系列钢筋混凝土桥柱进行横向荷载试验，利用图像和试验数据建立了相关关系。基于图像分割、特征提取和非线性回归分析的计算机视觉算法被用来估计峰漂移。本文给出的结果表明，无论摄像机的位置如何，参数化裂纹样与结构的经验位移之间具有很强的相关性。主要发现包括使用非线性机器的必要性。
AbstractThis paper considers the viability of applying computer vision techniques for estimating the peak experienced seismic displacement of damaged bridge columns, for use in postdisaster triage assessment. The primary objective of the associated study was to determine if there is a statistically robust relationship between peak seismic displacement and damage observations extracted from two-dimensional (2D) images captured after an event. To this end, correlations were developed using images and experimental test data from lateral-load tests performed on a series of reinforced concrete bridge columns. Computer vision algorithms based on a combination of image segmentation, feature extraction, and nonlinear regression analysis were used to estimate peak drift. The results presented in this paper indicate strong correlations between parameterized crack patterns and experienced structural displacement, regardless of the position of the camera. Key findings include the necessity of using nonlinear machine ...