MATEC Web of Conferences (Jan 2019)

A predator-prey optimization for structural health monitoring problems

  • Geara Christelle,
  • Faddoul Rafic,
  • Chateauneuf Alaa,
  • Raphaël Wassim

DOI
https://doi.org/10.1051/matecconf/201928101004
Journal volume & issue
Vol. 281
p. 01004

Abstract

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Monitoring a structure using permanent sensors has been one of the most interesting topics, especially with the increase of the number of aging structures. Such a technique requires the implementation of sensors on a structure to predict the condition states of the structural elements. However, due to the costs of sensors, one must judiciously install few sensors at some defined locations in order to maximize the probability of detecting potential damages. In this paper, we propose a methodology based on a genetic algorithm of type predator-prey with a Bayesian updating of the structural parameters, to optimize the number and location of the sensors to be placed. This methodology takes into consideration all uncertainties related to the degradation of the elements, the mechanical model and the accuracy of sensors. Starting with two initial populations representing the damages (prey) and the sensors (predator), the genetic algorithm evolves both populations in order to converge towards the optimal configuration of sensors, in terms of number and location. The proposed methodology is illustrated by a two-story concrete frame structure.