Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5475
Title: Detection of Crack Using Genetic Algorithm
Authors: Mungla, Mitesh
Sharma, Dharmendra
Trivedi, Reena
Keywords: Crack Detection
Euler-Bernoulli Beam
Non-Destructive Technique (NDT)
Genetic Algorithm (GA)
Rotational Spring
Mechanical Faculty Paper
Faculty Paper
ITFME008
Issue Date: Dec-2014
Citation: International Conference on Advances in Design and Manufacturing (ICAD&M'14), National Institute of Technology, Tiruchirappalli, December 5-7, 2014, Page No. 224-228
Series/Report no.: ITFME008-07
Abstract: Genetic algorithm based intelligent search of crack parameters (location and its severity) in cantilever beam has been presented in the paper. Algorithm is prepared to find global minima of fitness function which is function of measured and theoretical natural frequencies. Theoretical model of cracked beam has been derived based on Euler-Bernoulli beam theory. The crack, open and uniform depth, is modeled as rotational spring connecting two segments of an integrated beam. For validation of proposed method, the cracks are generated at various locations on specimens (made of aluminum alloys (6061-T6) using wire cut electro discharge machining process (WEDM). The results are found to be in good agreement with the actual crack parameters.
URI: http://hdl.handle.net/123456789/5475
ISBN: 978-93-84743-12-3
Appears in Collections:Faculty Paper, ME

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