Extraction and evaluation of cable forces of a cable-stayed bridge based on amplitude and phase estimation method

Weiguo Wang, Xiaodong Song, Yang Yu, Hongchen Chang, Wenxin Yu, Wen Xiong

Advances in Bridge Engineering ›› 2024, Vol. 5 ›› Issue (1) : 0. DOI: 10.1186/s43251-024-00126-4
Original Innovation

Extraction and evaluation of cable forces of a cable-stayed bridge based on amplitude and phase estimation method

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Abstract

In order to identify the time-varying frequency and amplitude of structural vibration based on the bridge structural health monitoring data and obtain the cable force of cable-stayed bridges in real time, a spectrum analysis method based on amplitude and phase estimation (APES) was proposed in this study. The amplitude spectrum of the acceleration data is first calculated by the APES method, the real-time spectrogram of the cable is obtained by the sliding window method. Then the modal frequency and amplitude are automatically extracted from the real-time spectrum by using a frequency extrusion post-processing technique, which can be regarded as the average value of the instantaneous frequency and amplitude respectively. Next, the fundamental frequency of the cable is extracted by using an automatic identification method, and the performance of the proposed method is verified. Finally, real-time scoring of cable forces and structural condition assessment is achieved with consideration of the moderation index model as well as the material strength. The results show that the APES method can use shorter calculation samples than the traditional Fast Fourier Transform (FFT) to obtain higher resolution and more accurate amplitude, which provides a theoretical basis for the real-time identification of fundamental frequency based on short-term monitoring data. The frequency extrusion post-processing-algorithm can reduce the spectrum recognition delay and improve timeliness of the cable force evaluation. The time-varying cable force with an interval of 10 s can be used to reflect the health status of the cable in time. The research results can provide technical support for the real-time extraction of cable force of long-span cable-stayed bridges, and can also provide an effective basis for component condition evaluation and bridge maintenance decision-making.

Keywords

Cable-stayed bridges / Frequency tracking / Structural health monitoring / Cable force evaluation / Frequency-squeezing postprocessing

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Weiguo Wang, Xiaodong Song, Yang Yu, Hongchen Chang, Wenxin Yu, Wen Xiong. Extraction and evaluation of cable forces of a cable-stayed bridge based on amplitude and phase estimation method. Advances in Bridge Engineering, 2024, 5(1): 0 https://doi.org/10.1186/s43251-024-00126-4

References

[]
Ali K, Katsuchi H, Yamada H. Comparative study on structural redundancy of cable-stayed and extradosed bridges through safety assessment of their stay cables. Engineering, 2020, 7: 111-123, prepublish
CrossRef Google scholar
[]
Atmaca B, Ghafoori R, Dede T, Ateş Ş. The effect of post-tensioning force and different cable arrangements on the behavior of cable-stayed bridge. Structures, 2022, 44: 1824-1843,
CrossRef Google scholar
[]
Baccigalupi A, Liccardo A. The Huang Hilbert transform for evaluating the instantaneous frequency evolution of transient signals in non-linear systems. Measurement, 2016, 86: 1-13,
CrossRef Google scholar
[]
Cicone A, Liu J, Zhou H. Adaptive local iterative filtering for signal decomposition and instantaneous frequency analysis. Appl Comput Harmon Anal, 2016, 41: 384-411,
CrossRef Google scholar
[]
Hou S, Dong B, Fan J, Wu G, Wang H, Han Y, Zhao X. Variational mode decomposition-based time-varying force identification of stay cables. Appl Sci-Basel, 2021, 11(3): 1254,
CrossRef Google scholar
[]
Ji J, Hung S, Akbar Y, Huang K, Wang R (2024) Node-based wave analysis method for the dynamic response and stiffness of long-span cable-stayed bridges. Structures 59105722
[]
Li J, Stoica P. An adaptive filtering approach to spectral estimation and SAR imaging. Signal Process, 1996, 44(6): 1469-1484
[]
Li S, Wei S, Bao Y, Li H. Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio. Eng Struct, 2018, 155: 1-15,
CrossRef Google scholar
[]
Ni P, Li J, Hao H, Xia Y, Wang XY, Jae-Myung L, Kwang-Hyo J. Time-varying system identification using variational mode decomposition. Struct Control Health Monit, 2018, 25(6): e2175,
CrossRef Google scholar
[]
Noel AB, Abdaoui A, Elfouly T, Ahmed MH, Badawy A, Shehata MS. Structural health monitoring using wireless sensor networks: a comprehensive survey. Commun Surv Tutor, 2017, 19(3): 1403-1423,
CrossRef Google scholar
[]
Pai PF. Online tracking of instantaneous frequency and amplitude of dynamical system response. Mech Syst Signal Process, 2010, 24: 1007-1024,
CrossRef Google scholar
[]
Ren W, Chen G, Hu W. Empirical formulas to estimate cable tension by cable fundamental frequency. Struct Eng Mech, 2005, 20(3): 363-380,
CrossRef Google scholar
[]
Timoshenko S (1974) Vibration problems in engineering, 4th edn. Wiley
[]
Xin Y, Li J, Hao H. Enhanced vibration decomposition method based on multisynchrosqueezing transform and analytical mode decomposition. Struct Control Health Monit, 2021, 28: e2730,
CrossRef Google scholar
[]
Yang Y, Li S, Nagarajaiah S, Li H, Zhou P. Real-time output-only identification of time-varying cable tension from accelerations via complexity pursuit. J Struct Eng, 2016, 142(1): 01568473,
CrossRef Google scholar
[]
Yu X, Dan D. Online frequency and amplitude tracking in structural vibrations under environment using APES spectrum postprocessing and Kalman filtering. Eng Struct, 2022, 259: 114175,
CrossRef Google scholar
[]
Zarbaf MAHES, Norouzi M, Allemang R, Hunt V, Helmicki A, Venkatesh C. Vibration-based cable condition assessment: a novel application of neural networks. Eng Struct, 2018, 177: 291-305,
CrossRef Google scholar
[]
Zhang X, Peng J, Cao M, Damjanović D, Ostachowicz W. Identification of instantaneous tension of bridge cables from dynamic responses: STRICT algorithm and applications. Mech Syst Signal Process, 2020, 142: 106729,
CrossRef Google scholar
[]
Zhong R, Pai PF. An instantaneous frequency analysis method of stay cables. J Low Freq Noise Vib Act Control, 2021, 40(1): 263-277,
CrossRef Google scholar
Funding
National Natural Science Foundation of China(52378287); Natural Science Foundation of Jiangsu(BK20201274); Provincial and Ministerial Key Laboratory Scientific Research Project(2242023K30017)

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