Debond Detection and Load Estimation Using Fiber Bragg Grating Sensors on a Composite Test Box – Part II (Algorithm Development)

Jain, Saransh and Viswamurthy , SR and Gupta, Nitesh (2012) Debond Detection and Load Estimation Using Fiber Bragg Grating Sensors on a Composite Test Box – Part II (Algorithm Development). In: International Conference on Smart Materials Structures and Systems, 4-7 January 2012, Indian Institute of Science, Bangalore.

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      Abstract

      This study explores damage identification and load estimation in composite structures using Artificial Neural Networks (ANNs) and its application to a composite test box. The test box contains a debond between its spar and skin. The box was loaded and strains were captured at several locations using Fiber Bragg Grating (FBG) sensors as well as strain gages. The difference in strains between healthy and unhealthy box is indicative of the presence of damage, as well as its extent and the loads seen by the box. ANNs were trained using data generated from finite element (FE) analyses of the test box. These trained ANNs were then used to estimate the applied load, debond size and location on the box. Damage and load predicted by the ANNs were verified using tests on the box.

      Item Type: Conference or Workshop Item (Paper)
      Uncontrolled Keywords: Structural health monitoring Load estimation Algorithm development Artificial neural networks
      Subjects: CHEMISTRY AND MATERIALS > Composite Materials
      ENGINEERING > Structural Mechanics
      MATHEMATICAL AND COMPUTER SCIENCES > Numerical Analysis
      Division/Department: Advanced Composites Division, Advanced Composites Division, Advanced Composites Division
      Depositing User: Dr. Viswamurthy S R
      Date Deposited: 23 May 2012 10:47
      Last Modified: 23 May 2012 10:47
      URI: http://nal-ir.nal.res.in/id/eprint/10464

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