Output-only subspace and transfer matrix-based damage localization and quantification

Md Delwar Hossain Bhuyan (1) , Eva Viefhues (2) , Michael Döhler (1) , Yann Lecieux (3) , Laurent Mevel (1) , Falk Hille (2) , Franck Schoefs (3)

1 I4S - Statistical Inference for Structural Health Monitoring
2 BAM Federal Institute for Materials Research and Testing
3 GeM - Institut de Recherche en Génie Civil et Mécanique

This paper deals with vibration-based damage localization and quantification from output-only measurements. We describe an approach which operates on a data-driven residual vector that is statistically evaluated using information from a finite element model, without updating the parameters of the model. First, the damaged elements are detected in statistical tests, and second, the damage is quantified only for the damaged elements. We propose a new residual vector in this context that is based on the transfer matrix difference between reference and damaged states, and compare it with a previously introduced subspace-based residual. We show localization and quantification on both residuals in simulations.

Mots clés: damage localization; damage quantification; hypothesis tests

Domaines: Dynamique, vibrations; Applications [stat.AP]

Md Delwar Hossain Bhuyan, Eva Viefhues, Michael Döhler, Yann Lecieux, Laurent Mevel, et al.. Output-only subspace and transfer matrix-based damage localization and quantification. IOMAC - 7th International Operational Modal Analysis Conference, May 2017, Ingolstadt, Germany. ⟨hal-01522138⟩