Damage identification of suspender cables by adding virtual supports with the substructure isolation method

Hou, Jilin; Li, Chao; Jankowski, Łukasz; Shi, Yongkang; Su, Li; Yu, Sheng; Geng, Tiesuo

doi:10.1002/stc.2677

Cited by 11 publications

(4 citation statements)

References 24 publications

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“…Therefore, it is of great significance to obtain the state information of suspenders in time to ensure the safety of the suspension bridge structure (Huang et al., 2017; Ye et al., 2023). Suspenders tension can directly reflect the suspender structural condition, so the identification of suspenders tension is an important tool for SHM of suspension bridges (Hou et al., 2021; Liu et al., 2021; Xu et al., 2022). The identification methods of suspender tension of suspension bridge can be divided into the direct method and the indirect 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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“…However, as stated above, it is not always possible to accurately obtain the cable's bending stiffness and damper's damping coefficient. Hou et al (2020) proposed a cable tension estimation method by adding virtual supports using the substructure isolation method. Their method virtually separates a cable section from the overall structure by adding virtual supports and avoids unknown factors such as the boundary conditions and cable length.…”

Section: Introductionmentioning

confidence: 99%

Tension Estimation Method for Cable With Damper Using Natural Frequencies With Uncertain Modal Order

Furukawa

Suzuki

Kobayashi

2022

Front. Built Environ.

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In the maintenance of cable structures, such as cable-stayed bridges, it is necessary to estimate the tension acting on the cables. In current Japanese practice, the cable tension is estimated from the cable’s natural frequency using vibration-based methods. However, in recent years, dampers have been installed onto the cables to suppress aerodynamic vibrations. Because the damper changes the cable’s natural frequencies, the methods used for cables without dampers are not appropriate for cables with dampers. With this background, the authors previously proposed a method (Method 0F) for estimating the tension of a cable with a damper from the natural frequencies and their modal order. Method 0F partially ignores the imaginary part of the complex natural frequencies to simplify the problem. This study proposes a new method (Method 1F) that does not ignore the imaginary part of a complex natural frequency. Method 1F still needs both the natural frequencies and their modal order to be input. If the modal order is not correctly specified, the accuracy deteriorates. Therefore, a new method (Method 2F) that only requires the natural frequencies is also proposed. The validity of the proposed methods was confirmed by numerical simulations and experiments. The numerical and experimental verifications confirmed that the new methods were superior compared with previous methods, and that Method 2F has the highest effectiveness.

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“…Until now, several in-depth methods have been proposed to identify the cable force of bridges. Unfortunately, most of them can only estimate the average value of the cable force within a specific time window but fail to closely track the inclusive time-varying characteristics [9][10][11]. The average value of cable force may lose some information about the condition of cables when compared with the time-varying features.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Identification of Time-Varying Cable Force Using an Improved Adaptive Extended Kalman Filter

Yang

et al. 2022

Sensors

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The real-time identification of time-varying cable force is critical for accurately evaluating the fatigue damage of cables and assessing the safety condition of bridges. In the context of unknown wind excitations and only one available accelerometer, this paper proposes a novel cable force identification method based on an improved adaptive extended Kalman filter (IAEKF). Firstly, the governing equation of the stay cable motion, which includes the cable force variation coefficient, is expressed in the modal domain. It is transformed into a state equation by defining an augmented Kalman state vector with the cable force variation coefficient concerned. The cable force variation coefficient is then recursively estimated and closely tracked in real time by the proposed IAEKF. The contribution of this paper is that an updated fading-factor matrix is considered in the IAEKF, and the adaptive noise error covariance matrices are determined via an optimization procedure rather than by experience. The effectiveness of the proposed method is demonstrated by the numerical model of a real-world cable-supported bridge and an experimental scaled steel stay cable. Results indicate that the proposed method can identify the time-varying cable force in real time when the cable acceleration of only one measurement point is available.

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Damage identification of suspender cables by adding virtual supports with the substructure isolation method

Cited by 11 publications

References 24 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

Tension Estimation Method for Cable With Damper Using Natural Frequencies With Uncertain Modal Order

Real-Time Identification of Time-Varying Cable Force Using an Improved Adaptive Extended Kalman Filter

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