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An algorithm for damage detection and localization Usibg output-only response for civil engineering structures subjected to seismic excitations

Abstract : Structure damage in civil engineering is generally caused by natural aging of materials,human activities or natural disasters. Control and monitoring of the structure’s health (SHM)present a very important stake for human and material security. In this context, many methods based on structure dynamic behaviour allow detection or localization of structural damages, especially concerning structures submitted to seismic excitations. These SHM technics are usually called Vibration-Based Damage Detection Methods (VBDDM). Every method of detection and localization depends on the accuracy of the experimental identification of modal parameters using Operational Modal Analysis (OMA), as well as number of modes and sensors. So far, no method enables, in simple and quick procedure, a precise detection and localization while having the optimal conditions: minimal number of sensors, use of low order modes. In this paper, we propose a new algorithm using in the first place, Covariance-driven stochastic subspace identification method (SSI-COV) to estimate modal parameters and in the second place, some VBDDM methods to reach a good detection and localization level for robust SHM applications. In order to evaluate our approach, a finite element model of reinforced concrete building is established.
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https://hal.archives-ouvertes.fr/hal-01905430
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Submitted on : Thursday, October 25, 2018 - 5:32:04 PM
Last modification on : Tuesday, November 6, 2018 - 1:09:16 AM
Long-term archiving on: : Saturday, January 26, 2019 - 3:49:30 PM

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  • HAL Id : hal-01905430, version 1
  • OATAO : 19986

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Farouk Frigui, Jean-Pierre Faye, Carmen Martin, Olivier Dalverny, François Pérès, et al.. An algorithm for damage detection and localization Usibg output-only response for civil engineering structures subjected to seismic excitations. 7th International Conference on Mechanics and Materials in Design, Jun 2017, Albufeira, Portugal. pp.0. ⟨hal-01905430⟩

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