Analysis of hybrid CSA-DEA method for fault detection of cracked structures
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School of Mechanical Engineering, Kalinga Institute of Industrial Technology, KIIT University, Bhubaneswar, Odisha, India
Department of Mechanical Engineering, National Institute of Technology, Rourkela, Odisha, India
Publish date: 2019-04-15
Submission date: 2018-03-20
Acceptance date: 2018-11-19
Journal of Theoretical and Applied Mechanics 2019;57(2):369–382
Formation of damage in a structural element often causes failures which is not desirable at all by a maintenance team. Identification of location and severity of damage can aid in taking necessary steps to reduce catastrophic failures of structures. As a result, non-destructive methods of damage detection have gained popularity over the last few years. In this paper, a method of damage detection is proposed to identify the location and severity of damage by hybridising a clonal selection algorithm with a differential evolution algorithm. The inputs to the hybrid system are the relative values of the first three natural frequencies of the damaged structure, and the outputs are relative crack locations and relative crack depths. For training the hybrid system, the natural frequencies are found out using finite element analysis and experimental analysis for different crack locations and crack depths. The test results from the proposed hybrid method are compared with finite element analysis and experimental analysis for validation, and satisfactory outcomes have been observed.
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