Experimental Validation of a Fuzzy Model for Damage Prediction of Composite Beam Structure

  • Deepak K. Agarwalla
  • Amiya K. Dash
  • Biswadeep Tripathy
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 33)


Damage detection of beam structures have been in practice for last few decades. The methodologies adopted have been upgraded over the time depending upon the complexities of the damage or crack and the desired accuracy. The utilization of artificial intelligence (AI) techniques have also been considered by many researchers. In the current research, damage detection of a glass fiber reinforced cantilever beam has been done. A fuzzy based model using trapezoidal membership function has been developed to predict the damage characteristics i.e. damage position and damage severity. The inputs required for the fuzzy based model such as first three relative natural frequencies and first three mode shape differences have been determined by finite element analysis of the damaged cantilever beam subjected to the natural vibration. The results obtained from the proposed analysis have been experimentally validated.


Damage Cantilever Fuzzy Finite element analysis Trapezoidal membership function 


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Copyright information

© Springer India 2015

Authors and Affiliations

  • Deepak K. Agarwalla
    • 1
  • Amiya K. Dash
    • 1
  • Biswadeep Tripathy
    • 1
  1. 1.Department of Mechanical Engineering, Institute of Technical Education and ResearchSiksha `O` Anusandhan UniversityBhubaneswarIndia

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