Benefits of implicit redundant genetic algorithms for structural damage detection in noisy environments

  • Authors:

  • Anne Raich;Tamás Liszkai

  • Affiliations:

  • Texas A&M University, Dept. of Civil Engineering, College Station, Texas;Texas A&M University, Dept. of Civil Engineering, College Station, Texas

  • Venue:
  • GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
  • Year:
  • 2003

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Abstract

A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problems is exploited by applying an implicit redundant representation (IRR) genetic algorithm. The unbraced frame structure results obtained show that the IRR GA is less sensitive to noise than a SGA.