Standard Article

Development of Fuzzy Rules for Damage Detection and Location

Simulation

Probabilistic Approaches

  1. Ranjan Ganguli

Published Online: 15 SEP 2009

DOI: 10.1002/9780470061626.shm074

Encyclopedia of Structural Health Monitoring

Encyclopedia of Structural Health Monitoring

How to Cite

Ganguli, R. 2009. Development of Fuzzy Rules for Damage Detection and Location. Encyclopedia of Structural Health Monitoring. .

Author Information

  1. Indian Institute of Science, Department of Aerospace Engineering, Bangalore, India

Publication History

  1. Published Online: 15 SEP 2009

Abstract

Work done in using fuzzy logic for structural damage detection is reviewed. An introduction to fuzzy logic is given and the process of developing rules is illustrated using two examples for damage detection in cantilever beams made of isotropic and composite materials, respectively. It is shown that fuzzy logic provides a practical alternative to neural network and genetic algorithm–based damage detection approaches popular with structural health monitoring researchers. Fuzzy logic–based damage detection algorithms can detect, locate, and identify the size of damage from noisy data. Moreover, the process of rule development in fuzzy systems can be automated via learning algorithms leading to genetic fuzzy systems.

Keywords:

  • pattern recognition;
  • fuzzy logic;
  • noisy data;
  • uncertainty;
  • genetic algorithm;
  • modal analysis