Structural system identification: from reality to models

Abstract

The paper is an expository contribution on the subject of structural system identification, measured signal processing and their applications to model-based structural health detection. The materials covered in this paper are by and large extracted from the three theses of the first three authors. The paper focuses on the state-space oriented system identification theory as specialized to structural dynamics governing equations of motion, a judicious use of wavelet transformation techniques for extracting impulse response functions, various input–output combinations for multi-input and multi-output problems, robust ways of identifying both proportional and non-proportional damping parameters, and the use of localized identification theory for damage detection from measured response data. The authors then offer several outstanding challenges in structural system identification theory and their applications.