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原文传递 Structural Identification Using Computer Vision-Based Bridge Health Monitoring

题名：	Structural Identification Using Computer Vision-Based Bridge Health Monitoring
其他题名：	Triggs,B.(1998)."Autocalibration from planar scenes."Proc.,Computer Vision—ECCV'98,Springer,Berlin,89-105.
正文语种：	英文
作者：	Tung Khuc
关键词：	identification；framework；measurement；structure；localization；bridge；computer；damage；development；vision
摘要：	This paper presents a new structural identification (St-Id) framework along with a damage indicator, displacement unit influence surface using computer vision-based measurements for bridge health monitoring. Unit influence surface (UIS) of a certain response (e.g., displacement, strain) at a measurement location on a beam-type or plate-type structure (e.g., single-span or multispan bridge with its deck) is defined as a response function of the unit load with respect to the any given location of the unit load on that structure. The novel aspect of this paper is a framework integrating vehicle load (input) modeling using computer vision and the development of a new damage indicator, UIS, using image-based structural identification. This framework is demonstrated on the large-scale bridge model in the University of Central Florida Structures Laboratory for verification and validation. The UIS damage indicators successfully identified the simulated damage on the bridge model, including damage detection and damage localization.
出版年：	2018
论文唯一标识：	P-26Y2018V144N02022
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/(ASCE)ST.1943-541X.0001925
期刊名称：	Journal of Structural Engineering
拼音刊名(出版物代码)：	P-26
卷：	144
期：	02
页码：	253-265