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ARTICLE
Analysis of hybrid CSA-DEA method for fault detection of cracked structures
1
School of Mechanical Engineering, Kalinga Institute of Industrial Technology, KIIT University, Bhubaneswar, Odisha, India
2
Department of Mechanical Engineering, National Institute of Technology, Rourkela, Odisha, India
Submission date: 2018-03-20
Acceptance date: 2018-11-19
Publication date: 2019-04-15
Journal of Theoretical and Applied Mechanics 2019;57(2):369-382
KEYWORDS
ABSTRACT
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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