TY - JOUR A1 - Marin, L. A1 - Döhler, Michael A1 - Bernal, D. A1 - Mevel, L. T1 - Robust statistical damage localization with stochastic load vectors N2 - The stochastic dynamic damage locating vector approach is a vibration-based damage localization method based on a finite element model of a structure 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 for some values in the Laplace domain. Then, the damage location is related to positions where the stress is close to zero. Robustness of the localization information can be achieved by aggregating results at different values in the Laplace domain. So far, this approach, and in particular the aggregation, is deterministic and does not take the uncertainty in the stress estimates into account. In this paper, the damage localization method is extended with a statistical framework. The uncertainty in the output-only measurements is propagated to the stress estimates at different values of the Laplace variable, and these estimates are aggregated based on statistical principles. The performance of the new statistical approach is demonstrated both in a numerical application and a lab experiment, showing a significant improvement of the robustness of the method due to the statistical evaluation of the localization information. KW - Damage localization KW - Load vectors KW - Ambient vibration KW - Covariance analysis KW - Subspace methods PY - 2015 UR - http://onlinelibrary.wiley.com/doi/10.1002/stc.1686/full U6 - https://doi.org/10.1002/stc.1686 SN - 1545-2255 SN - 1545-2263 VL - 22 IS - 3 SP - 557 EP - 573 PB - Wiley CY - Chichester AN - OPUS4-28069 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -