A non-contact recognition for deflection influence line of footbridge based on computer vision

doi:10.6052/j.issn.1000-4750.2020.08.0557

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	A non-contact recognition for deflection influence line of footbridge based on computer vision
	Zhu, Qian-Kun; Chen, Jian-Bang; Zhang, Qiong; Du, Yong-Feng
刊名	Gongcheng Lixue/Engineering Mechanics
	2021-08-01
卷号	38 期号:8 页码:145-153
关键词	Cameras Displacement response Identification method Pedestrian position Quasi-static characteristics Recognition systems Structural behaviour Structural engineer Visual recognition
ISSN号	10004750
DOI	10.6052/j.issn.1000-4750.2020.08.0557
英文摘要	This paper develops a non-contact recognition system of the influence line of human-induced deflection combined with the portable camera and wireless sensor, which avoids the shortcomings of traditional identification methods. It concludes of long-time blocking off traffic and of consuming a lot of human resources and material resources. The engineers can use this system to identify the influence line of bridges in operation. A portable camera obtains the pedestrian behaviour on the bridge. The occlusion model is introduced to improve the Yolo algorithm to identify the pedestrian on the bridge. Tracking the changes of the coordinates of the target pedestrian can obtain the pedestrian position information and the pedestrian load acquired by the wireless sensor is taken as the structural input data. Visual recognition technology is used to track the structural behaviour and the displacement response under pedestrian loading as the output data of the structure. According to the input and output data of the structure, the deflection influence line of bridge under pedestrian loading is calculated reversely. The initial influence line is processed by high-order filtering to eliminate the interference of environment and other factors. Then, the measured bridge influence line with characteristics of quasi-static characteristics is fitted using the polynomial segmentally, which can provide an accurate and efficient basis to detect the bridge damage for structural engineers. © 2021, Engineering Mechanics Press. All right reserved.
语种	中文
出版者	Tsinghua University
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/150766]
专题	土木工程学院
作者单位	Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Zhu, Qian-Kun,Chen, Jian-Bang,Zhang, Qiong,et al. A non-contact recognition for deflection influence line of footbridge based on computer vision[J]. Gongcheng Lixue/Engineering Mechanics,2021,38(8):145-153.
APA	Zhu, Qian-Kun,Chen, Jian-Bang,Zhang, Qiong,&Du, Yong-Feng.(2021).A non-contact recognition for deflection influence line of footbridge based on computer vision.Gongcheng Lixue/Engineering Mechanics,38(8),145-153.
MLA	Zhu, Qian-Kun,et al."A non-contact recognition for deflection influence line of footbridge based on computer vision".Gongcheng Lixue/Engineering Mechanics 38.8(2021):145-153.