Load vector based damage localization with rejection of the temperature effect

Md Delwar Hossain Bhuyan (1) , Nicolas Le Touz (2) , Guillaume Gautier (2) , Michael Dohler (2) , Falk Hille (1) , Jean Dumoulin (2) , Laurent Mevel (2)

1 BAM Federal Institute for Materials Research and Testing
2 I4S - Statistical Inference for Structural Health Monitoring

The Stochastic Dynamic Damage Locating Vector (SDDLV) approach is a vibration-based damage lo-calization method based on both a finite element model of a structure and modal parameters estimated from output-only measurements in the damage and reference states. A statistical version of the approach takes into account the inherent uncertainty due to noisy measurement data. In this paper, the effect of temperature fluctuations on the performance of the method is analyzed in a model-based approach using a finite element model with temperature dependent parameters. Robust damage localization is carried out by rejecting the temperature influence on the identified modal parameters in the damaged state. The algorithm is illustrated on a simulated structure.

Mots clés: Temperature rejection; Statistical evaluation; Damage localization; SDDLV; Load vector

Mots clés: Température; Méthode des éléments finis

Domaines: Dynamique, vibrations

Md Delwar Hossain Bhuyan, Nicolas Le Touz, Guillaume Gautier, Michael Dohler, Falk Hille, et al.. Load vector based damage localization with rejection of the temperature effect. IOMAC 2019 - 8th International Operational Modal Analysis Conference, May 2019, Copenhague, Denmark. pp.10. ⟨hal-02143742⟩