Operational modal analysis with uncertainty quantification for SDDLV-based damage localization

Abstract

Abstract. The Stochastic Dynamic Damage Locating Vector (SDDLV) approach is a vibration-based damage localization method based on a finite element model of a structure in a reference state and output-only measurements in both reference and damaged states. A stress field is computed for loads in the null space of a surrogate of the change in the transfer matrix at the sensor positions, where the null space is obtained based on the identified modal parameters in both structural states. Then, the damage location is related to positions where the stress is close to zero. The localization results of this generic approach are perturbed by mainly two sources: modal truncation (not all modes of the structure are available) and modal parameter identification errors (estimation is subject to statistical uncertainties). In this paper, we show how damage localization with the SDDLV approach is improved by taking into account the estimation uncertainties of the underlying identified modal parameters.

Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method

“…For instance, in (Pereira et al, 2020), modal parameter uncertainties identified in continuous dynamic monitoring were used to remove outliers during modal tracking. Döhler et al (2015) improved the results of a damage localization method by including the computed uncertainty levels in modal parameters. Verboven et al (2004) performed an EMA test, finding that the mathematical modes had a much higher level of uncertainty than the physical modes.…”