ABSTRACT
ABSTRACT: Large flexible structures such as cable-stayed bridges pose a challenge to structural health monitoring due to their service condition, accessibility and complexity. To provide an accurate estimate of structural damage, the reliable identification of modal properties is a prerequisite. Although forced vibrations provide accurate quantitative modal information, the use of ambient loading constitutes an attractive alternative in terms of cost and simplicity. The auto-regressive and moving average vector (ARMAV) technique is one of the most promising techniques to make use of ambient vibration data. Based on the real-time data measured from the well known cable-stayed bridge (Bill Emerson Memorial Bridge), this paper presents a modal identification process through ARMAV technique.
