Study on the dynamic characteristics of the suspender with additional dampers and a frequency-based multiple parameter identification method for the system

Ma, Lin; Cai, C.S.; Wu, Liuliu; Li, Shaofan

doi:10.1016/j.jsv.2023.117660

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…Due to the influence of boundary conditions and other factors, there is a complex correlation between the natural frequency of suspenders and the suspender tension, which is another key problem of the frequency method. Many scholars have studied the frequency-based tension identification method under complex boundaries (Ma et al, 2023;Syamsi et al, 2022) by using the dynamic model (Huang et al, 2015;Xu et al, 2019), particle swarm optimization algorithm (Zhang et al, 2021), and other methods. Zhan et al (2018) proposed a Bayesian method based on Markov chain Monte Carlo, which realized the determination of frequency corresponding modal order in the frequency method.…”

Section: Introductionmentioning

confidence: 99%

A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension

Xu,

Gao,

Liu

2024

Computer aided Civil Eng

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In the actual structural health monitoring system of suspension bridges, only part of suspenders tension can be monitored, but not all the suspenders tension can be obtained. To solve this problem, a method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension is proposed. By using actual monitoring data of vehicle loads, a spatio‐temporal correlation model of the girder strain and tension forces of all suspenders is constructed based on the combined application of stacked denoising autoencoder and convolutional neural networks‐long short‐term memory model, so as to realize the preliminary identification of suspenders tension. On this basis, by using the actual monitoring data of suspenders tension and the strain monitoring data obtained through the distributed optical fiber sensors, the delicate identification of tension forces of all suspenders is realized based on the error interpolation of preliminary identification results. The results of the example bridge show that the method in this paper can effectively identify tension forces of all suspenders of the suspension bridge, and identification results are more accurate than the method using only the monitoring data of suspenders.

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Section: Introductionmentioning

confidence: 99%

A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension

Xu,

Gao,

Liu

2024

Computer aided Civil Eng

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“…Te indices identifed by SI technology typically include modal parameters, including natural frequency, mode shape, and modal damping ratio, with these parameters used as indicators of building safety [12][13][14][15][16]. Changes in natural frequency can be used as an indicator to determine whether building safety is deteriorating [17,18], while changes in mode shape can be used as an indicator to identify locations at which building safety is deteriorating [19,20]. Furthermore, the modal damping ratio serves as an indicator for determining the dynamic response of a structure during the initial design stage, predicting the system's response to external loads such as earthquakes and wind, and allowing for preassessing the usability of the building to be constructed and the safety of the structure under load.…”

Section: Introductionmentioning

confidence: 99%

LSTM‐Based Approach for Stable Identification of Modal Damping Ratio in Building Structures

Yun,

Oh,

Park

et al. 2024

Structural Control and Health Monitoring

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Modal parameters are used as safety assessment indicators for evaluating the structural integrity of buildings in various ways. In particular, the modal damping ratio plays a crucial role in accurately predicting the serviceability and safety of buildings, starting from the initial design stage. However, the identification results of the modal damping ratio can become unstable due to measurement time, initial configuration conditions used in the analysis, and nonstationary responses included in the structural response. To address the instability issue, this study proposes a long short-term memory-based frequency domain decomposition (FDD-LSTM) method. The FDD-LSTM method utilizes the acceleration response of the building as input data and the modal damping ratio obtained from the FDD method as output data, constructing an LSTM network model for the relationship between the acceleration response and modal damping ratio. The FDD-LSTM method exhibited a discrepancy of less than 0.02% compared to the reference value of the modal damping ratio obtained through free vibration response. Furthermore, when applied to data acquired from an actual building, the method demonstrated a variance of approximately 5%. The proposed FDD-LSTM method is validated for stability performance using a three-degree-of-freedom numerical analysis model, a 3-story steel frame structure model, and a 117-story high-rise building. The FDD-LSTM method, trained on a large dataset, enables generalized estimation and addresses instability issues related to modal damping ratio.

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Study on the dynamic characteristics of the suspender with additional dampers and a frequency-based multiple parameter identification method for the system

Cited by 2 publications

References 21 publications

A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension

A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension

LSTM‐Based Approach for Stable Identification of Modal Damping Ratio in Building Structures

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