Optimal piezoelectric sensors location for cracks and damage detection in dynamic structures using genetic algorithms

Research output: Contribution to conferenceAbstract

Abstract

Structural health monitoring is an important research topic employed in aerospace, automotive and mechanical engineering. This paper concerns optimal placement of discrete piezoelectric sensors on flexible composite structures under multiple modes of vibration for structure health monitoring to detect micro-cracks and damage in composite structures using genetic algorithms. This study develops a placement methodology to optimize the locations of the discrete sensor using genetic algorithms for structural health monitoring. In this study, fitness and objective functions are proposed based on the maximization of sensor output voltage to optimize the locations of discrete sensors. A composite plat stiffened by beams bonded with the discrete piezoelectric transducer is modeled in this paper by first-order shear deformation theory using finite element method and Hamilton’s principle.
Original languageEnglish
Publication statusPublished - 5 Sep 2018
Event21st International Conference on Composite Structures - Bologna , Italy
Duration: 4 Sep 20187 Sep 2018
Conference number: 21st

Conference

Conference21st International Conference on Composite Structures
Abbreviated titleICCS21
CountryItaly
CityBologna
Period4/09/187/09/18

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Keywords

  • piezoelectric
  • Genetic algorithm (GA)
  • health monitoring
  • dynamic structures
  • cracks and damage detection

Cite this

Daraji, A. H. (2018). Optimal piezoelectric sensors location for cracks and damage detection in dynamic structures using genetic algorithms. Abstract from 21st International Conference on Composite Structures, Bologna , Italy.