Identification of Cable Forces on Cable-Stayed Bridges: A Novel Application of the MUSIC Algorithm

摘要

Proper identification of the cable’s resonant frequencies is critical to provide an accurate estimate of cable force. The MUltiple SIgnal Classification (MUSIC) algorithm is implemented to estimate cable-stayed bridge cable tensions noninvasively from measured cable motion. This algorithm performs eigenanalysis on the data sequence to estimate and eliminate noise contributions before creating its frequency spectrum, providing a more robust estimation approach than traditional Fourier based frequency spectrums. To aid in the selection of cable frequencies, a comprehensive finite difference cable model is simulated and compared to the estimated MUSIC spectrums.