Statistical model-based optimization for damage extent quantification - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Mechanical Systems and Signal Processing Year : 2021

Statistical model-based optimization for damage extent quantification


Damage localization and quantification constitute different aspects of structural damage diagnosis, which are of particular interest in the Structural Health Monitoring field. Therein, a classical solution is model updating, where the parameters of a finite element model of the possibly damaged structure are optimized to match with the corresponding parameters estimated from its vibration responses. To avoid ill-posedness of the classical finite element updating problem, damage localization and quantification can be treated separately. First, the information about regions or clusters of possibly damaged elements in the structure is obtained by a damage localization method. Then, this information is used to reduce the number of parameters for damage quantification. A framework combining the advantages of methods for damage localization with model optimization is proposed in this paper. For the exploration of the clustered physical model space, a stochastic optimization algorithm is coupled with the evaluation of the statistical properties of the MAC and frequency differences between the numerical model and the estimated modes for an adequate treatment of the data-based uncertainties. Herein, the development of the statistical properties of the MAC estimate is an important step, which is based on a recent quadratic framework that is adapted to the context of the inner product between an estimated mode shape and a numerical mode shape. This statistical information is used in the formulation of the objective function as well as in a data-driven stopping criterion for the optimization search. The proposed framework is validated on numerical simulations of a beam model, where damage at multiple locations is quantified up to the clustering precision.
Fichier principal
Vignette du fichier
updating_paper_preprint (1).pdf (4.76 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03468260 , version 1 (07-12-2021)



Szymon Gres, Michael Döhler, Laurent Mevel. Statistical model-based optimization for damage extent quantification. Mechanical Systems and Signal Processing, 2021, 160, pp.107894. ⟨10.1016/j.ymssp.2021.107894⟩. ⟨hal-03468260⟩
28 View
89 Download



Gmail Mastodon Facebook X LinkedIn More