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contributor authorChristopher K. Leung
contributor authorNoah Olson
contributor authorKai Tai Wan
contributor authorAidong Meng
date accessioned2017-05-08T22:40:41Z
date available2017-05-08T22:40:41Z
date copyrightAugust 2005
date issued2005
identifier other%28asce%290733-9399%282005%29131%3A8%28777%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/86121
description abstractThe degradation of concrete structures is always accompanied by the formation of cracks. Crack monitoring is hence useful in assessing the “health condition” of the structure. In our previous investigation on an optical-fiber crack sensor, we have successfully demonstrated the possibility of crack detection and monitoring without requiring prior knowledge of crack locations. Also, a single fiber can be employed to monitor a number of cracks. In practical applications, the signal loss versus crack opening relationship of the sensor needs to be properly “designed” to satisfy performance requirements on sensitivity to small cracks and/or the total number of detectable cracks (which is limited by the maximum loss at each crack). In this paper, a theoretical model for the signal loss versus crack opening relationship is developed through a combination of mechanical and optical analyses. Using concrete beams with embedded sensors, crack monitoring experiments are conducted. Test results are found to be in reasonably good agreement with predictions from the model. With the verified model, simulations are carried out to study the effect of various parameters on sensor performance. The potential application of the theoretical model to generate sensor design guidelines is hence demonstrated.
publisherAmerican Society of Civil Engineers
titleTheoretical Modeling of Signal Loss versus Crack Opening for a Novel Crack Sensor
typeJournal Paper
journal volume131
journal issue8
journal titleJournal of Engineering Mechanics
identifier doi10.1061/(ASCE)0733-9399(2005)131:8(777)
treeJournal of Engineering Mechanics:;2005:;Volume ( 131 ):;issue: 008
contenttypeFulltext


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