1. Experimental strain modal analysis for beam-like structure by using distributed fiber optics and its damage detection
- Author
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Giorgio Busca, Alfredo Cigada, Liangliang Cheng, and Dynamics and Vibration
- Subjects
Materials science ,Optical fiber ,genetic structures ,CMIF ,damage detection ,distributed fiber optics ,strain modal analysis ,strain mode shape ,Instrumentation ,Engineering (miscellaneous) ,Applied Mathematics ,Modal analysis ,Modal testing ,02 engineering and technology ,01 natural sciences ,law.invention ,010309 optics ,Optics ,0203 mechanical engineering ,Normal mode ,law ,0103 physical sciences ,Image resolution ,business.industry ,Mode (statistics) ,020303 mechanical engineering & transports ,Modal ,business ,Beam (structure) - Abstract
Modal analysis is commonly considered as an effective tool to obtain the intrinsic characteristics of structures including natural frequencies, modal damping ratios, and mode shapes, which are significant indicators for monitoring the health status of engineering structures. The complex mode indicator function (CMIF) can be regarded as an effective numerical tool to perform modal analysis. In this paper, experimental strain modal analysis based on the CMIF has been introduced. Moreover, a distributed fiber-optic sensor, as a dense measuring device, has been applied to acquire strain data along a beam surface. Thanks to the dense spatial resolution of the distributed fiber optics, more detailed mode shapes could be obtained. In order to test the effectiveness of the method, a mass lump—considered as a linear damage component—has been attached to the surface of the beam, and damage detection based on strain mode shape has been carried out. The results manifest that strain modal parameters can be estimated effectively by utilizing the CMIF based on the corresponding simulations and experiments. Furthermore, damage detection based on strain mode shapes benefits from the accuracy of strain mode shape recognition and the excellent performance of the distributed fiber optics.
- Published
- 2017
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