With the construction of a number of massive projects, the structure failure becomes more common and will probably lead to huge economic losses and casualties. It has important and practical significance to establish a complete set of structural health monitoring system for these massive projects. Damage detection is one of the core technologies for structural health identification. Although a variety of damage identification methods have been developed, accurately measuring the response of the structural information is still the premise of the effectiveness of damage identification. Damage in the massive structures cannot be predicted, so it is not advisable to perform health monitoring by means of strain gauges. We use quasi-distributed long-gage optical fiber Bragg grating (FBG), combined with the damage detection application in simply supported steelconcrete composite beam, to verify the performance of such a sensor. The test results show that damage identification efficiency is reduced with the increase in length of the quasi-distributed long-gage FBG strain sensor gage.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.