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Acoustic-based damage detection method
Institution:1. Mechanical Engineering Department, Indian Institute of Technology Bombay, Mumbai 400076, India;2. Aerospace Engineering Department, Indian Institute of Technology Bombay, Mumbai 400076, India;1. Department of Engineering Mechanics, Hohai University, Nanjing 210098, People''s Republic of China;2. Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People''s Republic of China;3. Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Gdańsk 80-231, Poland;4. Jiangxi Provincial Key Laboratory of Environmental Geotechnical Engineering and Disaster Control, Jiangxi University of Science and Technology, Ganzhou 341000, People''s Republic of China
Abstract:Most of the structural health monitoring (SHM) methods is either based on vibration-based and contact acoustic emission (AE) techniques. Both vibration-based and acoustic emission techniques require attaching transducers to structure. In many applications, such as those involving hot structural materials for thermal protection purposes or in rotating machines, non-contact measurements would be preferred because the operating environment is prohibitive leading to potential damage in contact sensors or their attachments. In this paper, a new non-contact, acoustic-based damage detection method is proposed and tested with an objective that the proposed method is able to detect the location and extend of damage accurately. The proposed acoustic-based damage detection method is a direct method. In this proposed method, changes in vibro-acoustics flexibility matrices of the damage and health structure are used to predict the location and extend of damage in the structure. A case study involving actual measured date for the case of a fixed–fixed plate structure is used to evaluate the effectiveness of the proposed method. The results have shown that the proposed acoustic-based damage detection method can be used to detect the location and extend of the damage accurately.
Keywords:Structural health monitoring  Acoustic-based damage detection  Direct method  Vibro-acoustic eigendata
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