Intelligent parameter identification for bridge cables based on characteristic frequency equation of transverse dynamic stiffness

• Published in: Journal of low frequency noise, vibration, and active control vibration, and active control, 2020-09, Vol.39 (3), p.678-689
• Main Authors: Dan, Danhui, Xu, Bin, Xia, Ye, Yan, Xingfei, Jia, Pengfei
• Format: Article
• Language: English
• Subjects: Algorithms; Cables; Eigenvalues; Eigenvectors; Frequency measurement; Identification methods; Parameter identification; Particle swarm optimization; Stiffness; Vibration tests
• ISSN: 1461-3484; 2048-4046
• DOI: 10.1177/1461348418814617

Determining the cable force and other parameters of cables is important for condition assessment of cable-stayed structures. This study proposes a frequency characteristic equation of transverse dynamic stiffness for cables; this equation is suitable for measuring the vibrations to evaluate the primary factors that influence the accuracy of cable parameter identification. Further, a cable parameter identification method based on the particle swarm optimization algorithm is proposed. The method is suitable for a cable system of arbitrary length and with moderate sag especially when the measurement quality of the modal frequencies of cables is poor. Both numerical case studies and a cable vibration test proved that the proposed method can identify parameters with high accuracy for cables of any length and for cases requiring low-frequency measurement. Moreover, structural modal order information is not required. The extreme case is that only one order frequency can achieve highly accurate result in this way. The proposed method is suitable for parameter identification of short cables, hanger cables, and parallel strand cables, which are commonly applicable in engineering applications.