Global Parametric Identification of a Cable-Stayed Bridge Model under Vertical Excitations using SNLSE Approach

摘要

Global assessment of structural conditions is important for structural health monitoring system. Especially, identification of structural parameters based solely on vibration data measured from sensors has become a popular topic in the field of civil engineering. The problem becomes extremely challenging when the number of sensors installed is limited. In this paper, a newly proposed online system identification technique, referred to as the sequential nonlinear LSE (SNLSE) approach, will be studied for global parametric identification of an experimental cable-stay bridge model. A dynamic equivalent model of the bridge will be established and the finite element analysis will be carried out. Both numerical and experimental studies will be conducted and different damage scenarios and limited number of response data will be considered. The capability of the proposed SNLSE approach in identifying the structural parameters and assessing the structural conditions will be verified.