Journal of
Engineering and Technology Research

  • Abbreviation: J. Eng. Technol. Res.
  • Language: English
  • ISSN: 2006-9790
  • DOI: 10.5897/JETR
  • Start Year: 2009
  • Published Articles: 184


Analysis of smart crack detection methodologies in various structures

Dayal R. Parhi* and Sasanka Choudhury
Department of Mechanical Engineering, National Institute of Technology, Rourkela, India.
Email: [email protected]

  • Article Number - 0865C2D11716
  • Vol.3(5), pp. 139-147, May 2011
  •  Accepted: 17 February 2011
  •  Published: 31 May 2011


This paper describes a comprehensive review of various technical papers in the domain of crack detection in Beam-Like Structure. Sensibility analysis of experimentally measured frequencies as a criterion for crack detection has been extensively used in the last decades due to its simplicity. However determination of crack parameters (like depth and location) is not straight forward. The various techniques discussed on the basis of dynamic analysis of Crack. The techniques mainly of fuzzy logic neural network, fuzzy system, hybrid neuro genetic algorithm, artificial neural network, artificial intelligence. 

Key words: Neural network, fuzzy logic, genetic algorithm, artificial intelligence, crack detection. 

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