MS 15

System Identification and Damage Detection

Co-organised by

Eleni Chatzi,
ETH Zurich, Switzerland

Guido De Roeck,
KU Leuven, Belgium

Abstract

This special session covers theoretical, computational, and experimental work on system identification and vibration-based damage detection. Possible applications span the fields of structural dynamics, earthquake engineering, civil, mechanical, aerospace, and related engineering disciplines. Most often, the preceding step of damage assessment is (operational) modal analysis based on linear/nonlinear system identification.

The emphasis in this session is shed onto the robust interpretation of the identification results. Work pertaining to all four levels of damage assessment is welcomed, including detection, localization, characterization of damage severity, and prediction of remaining lifetime. Of particular interest is the influence of measurement errors and model uncertainty on the robustness of the identification and the precision of damage prediction. We further welcome contributions relating to the development of new sensor technologies, as well as advanced computing schemes (including those relying on machine learning tools) aiming to improve the sensitivity of monitored features to damage.