Parameter Identification of Main Cables of Cable Suspension Structures Based on Vibration Monitoring of Cable: Methodology and Experimental Verification

Xu, Biwan; Dan, Danhui; Han, Fengbo; Zou, Yiqing

doi:10.1061/(asce)st.1943-541x.0002965

Cited by 5 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… (1)In the FROCPI algorithm, identification suffers from a nonideal boundary condition (Chen et al., 2018), which may deviate too much from the assumed one. In this case, further research may be needed to consider the rigidity of cable end constraints (Syamsi et al., 2022; Zhang et al., 2020a) and develop correspondingly new frequency selection criterion. (2)Factors such as cable sag and extensibility (Jo et al., 2021; Pacitti et al., 2021; Xu et al., 2021), shear deformation, additional appendages like external dampers (Main & Jones, 2002), and the effects of nonlinear vibration or temperature (Wu et al., 2018), which are not included in the ideally simplified model, may also significantly influence the identification results. However, this does not mean the algorithm loses its practicability.…”

Section: Discussionmentioning

confidence: 99%

“…(2) Factors such as cable sag and extensibility (Jo et al, 2021;Pacitti et al, 2021;Xu et al, 2021), shear deformation, additional appendages like external dampers (Main & Jones, 2002), and the effects of nonlinear vibration or temperature (Wu et al, 2018), which are not included in the ideally simplified model, may also significantly influence the identification results. However, this does not mean the algorithm loses its practicability.…”

Section: Limitations and Future Workmentioning

confidence: 99%

See 1 more Smart Citation

A decoupled algorithm for cable parameter identification by frequency‐ratio‐offset

Sun

Zheng

Zhang

et al. 2023

Computer aided Civil Eng

View full text Add to dashboard Cite

This paper proposes a frequency‐ratio‐offset (FRO)‐based parameter identification algorithm for real bridge cables. By introducing specific time and space scaling factors, the dynamic equation is fully nondimensionalized and reduced to a most concise form, independent of all distributed cable parameters. As a result, the frequency equation has only two variables, which can be easily solved to obtain the universal dimensionless frequency–length curve under specified boundary conditions. Based on these curves, a decoupled identification algorithm is constructed, using the newly defined FRO as a bridge to directly connect the dimensionless beam and its real‐world counterpart. The algorithm enables a simultaneous determination of any two of the three cable parameters using a pair of measured frequencies. Examples involving both laboratory tests and real‐life applications demonstrate the effectiveness and accuracy of the algorithm. Based on a statistical analysis of the fitness of dozens of predicted and measured frequencies, a guideline for frequency selection is suggested, and the influence of measurement error on the identification results is discussed. The proposed algorithm could become a convenient tool for engineers to efficiently identify multiple parameters (e.g., tension and bending stiffness) for a broad class of bridge cables.

show abstract