Long-term condition evaluation for stay cable systems using dead load–induced cable forces

Ren, Yuan; Xu, Xiang; Huang, Qiao; Zhao, Danyang

doi:10.1177/1369433218824486

Cited by 31 publications

(15 citation statements)

References 20 publications

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“…e advanced anchor load cell (ALC) sensors, which have higher precision compared to other cable force measurement approaches, are installed in the anchors of stay cables [42]. All the 168 stay cables are equipped with ALC sensors with an acquisition frequency of 10 Hz and a relative error of ±1%.…”

Section: Descriptions Of Bridge and Its Monitoringmentioning

confidence: 99%

Estimation of Extreme Cable Forces of Cable‐Stayed Bridges Based on Monitoring Data and Random Vehicle Models

Ren

Zhu

Fan

et al. 2021

Advances in Civil Engineering

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For long-span cable-stayed bridges, cables serve as one of the most important components to guarantee structural integrity. Forces of stay cables indicate not only the performance of cables themselves but also the overall condition of bridges. In order to help stakeholders to make maintenance decisions, an extreme cable force estimation method was proposed based on cable force measurements and traffic data from the weighing system. First, raw monitoring data were preprocessed based on a median filtering to obtain usable cable force signals. The multiresolution wavelet method was used to extract traffic-induced force component from mixed signals. Then, a Monte Carlo-based random vehicle model was developed using traffic data from the weighing system. Based on field temperature measurements and simulation of traffic-induced effects, extreme cable forces with respect to vehicle loads and temperature effects were predicted by extreme value theory. The Generalized Pareto Distribution (GPD) was adopted to establish the probability distribution models of the daily maximum cable force. Then, the extreme value within a return period of 100 years was determined and compared with the design loading demand. Finally, the effectiveness of the proposed method was validated through a cable-stayed bridge in China. As a result, the low-frequency varying component of cable force response had positive correlation with environmental temperatures, and the extreme value of the predicted cable force under prospective traffic volumes was within limit interval value according to the design code. The conclusions can be utilized by bridge owners to make maintenance decisions.

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Section: Descriptions Of Bridge and Its Monitoringmentioning

confidence: 99%

Estimation of Extreme Cable Forces of Cable‐Stayed Bridges Based on Monitoring Data and Random Vehicle Models

Ren

Zhu

Fan

et al. 2021

Advances in Civil Engineering

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“…The total of 168 stay cables are all equipped with ALCs with an acquisition frequency of 10 Hz and a relative error of +1%. According to Ren et al (2019), the ALC sensors have a higher precision compared to the other cable force measurement approaches (e.g. vibration frequency measurement).…”

Section: Descriptions Of the Bridge Its Monitoring Systemmentioning

confidence: 99%

“…The reason for this is that algorithms used for warning system to detect anomalies should not raise alarms if the component of interest changes because of benign operational or environmental variations, whereas the abnormal changes may be critical for the structure's safety. As for a cable-stayed bridge, the cable force monitoring results are influenced by several factors including dead weight, vehicle loadings temperature, wind, and so on (Ren et al, 2019). The variation of cable force caused by environmental temperature sometimes masks the anomaly of stay cable itself (Xia et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Zhou et al (2019) studied the thermal response of a long-span cable-stayed bridge from monitoring phenomena to underlying mechanisms. The correlation of cable force and environmental temperature can be approximately fitted by the linear regression method, according to Ren et al (2019). Based on the monitoring data and numerical method, Wang et al (2019) separated cable forces induced by temperature variations.…”

Section: Introductionmentioning

confidence: 99%

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A cointegration approach for cable anomaly warning based on structural health monitoring data: An application to cable-stayed bridges

Fan

Huang

Ren

et al. 2020

Advances in Structural Engineering

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For long-span cable-stayed bridges, cables are one of the most important components to resist various actions. With the application of structural health monitoring technique, real-time recording of cable forces is achieved, and hence, the warning system on cable anomaly established. However, it is still difficult and there are challenges to conduct the warning system effectively, especially due to the phenomena of false alarm or omission. A practical reason is the warning index’s sensitivity to the ambient environment. Temperature variations, for instance, usually disturb the force-based cable anomaly warning and result in the false evaluation of structural condition. In view of eliminating the effects of environmental temperature, cointegration, a statistical concept from econometrics, is employed in cable anomaly warning studies. An approach that extracts warning index by linear combination of two non-stationary time series using the cointegration algorithm is developed in order to produce a more stationary cointegrated residual series (warning index series). The calculated stationary relationship between two time series is insensitive to the influence of environmental temperature and is capable of cable anomaly warning. Specifically, the framework of the cable anomaly warning system is first proposed. Subsequently, time-series test methods are introduced to check the non-stationary order and calculate the cointegration parameters of measured cable forces and environmental temperature. The computed cointegrated residual series is fed into statistical analysis as a warning index and the procedure of cable anomaly warning under the influence of environmental temperature is illustrated in detail. Finally, a case study for a cable-stayed bridge is demonstrated with results and discussions.

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“…The temperature effect can be removed by many statistical methods such as NLPCA (Nonlinear Principal Component Analysis), ANN (Artificial Neural Network), SVM (Support Vector Machine), etc. [34][35][36][37]. It can also be simply eliminated by selecting the same seasonal period for each dynamic measurement.…”

Section: Introductionmentioning

confidence: 99%

Bridge Scour Identification and Field Application Based on Ambient Vibration Measurements of Superstructures

Xiong

Cai

Kong

et al. 2019

JMSE

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A scour identification method was developed based on the ambient vibration measurements of superstructures. The Hangzhou Bay Bridge, a cable-stayed bridge with high scour potential, was selected to illustrate the application of this method. Firstly, two ambient vibration measurements were conducted in 2013 and 2016 by installing the acceleration sensors on the girders and pylon. By modal analysis, the natural frequencies of the superstructures were calculated with respect to different mode shapes. Then, by tracing the change of dynamic features between two measurements in 2013 and 2016, the discrepancies of the support boundary conditions, i.e., at the foundation of the Hangzhou Bay Bridge, were detected, which, in turn, qualitatively identified the existence of bridge foundation scour. Secondly, an FE model of the bridge considering soil-pile interaction was established to further quantify the scour depth in two steps. (1) The stiffness of the soil springs representing the support boundary of the bridge was initially identified by the model updating method. In this step, the principle for a successful identification is to make the simulation results best fit the measured natural frequencies of those modes insensitive to the scour. (2) Then, using the updated FE model, the scour depth was identified by updating the depth of supporting soils. In this step, the principle of model updating is to make the simulation results best fit the measured natural frequency changes of those modes sensitive to the scour. Finally, a comparison to the underwater terrain map of the Hangzhou Bay Bridge was carried out to verify the accuracy of the predicted scour depth. Based on the study in this paper, it shows that the proposed method for identifying bridge scour based on the ambient vibration measurements of superstructures is effective and convenient. It is feasible to quickly assess scour conditions for a large number of bridges without underwater devices and operations.

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Long-term condition evaluation for stay cable systems using dead load–induced cable forces

Cited by 31 publications

References 20 publications

Estimation of Extreme Cable Forces of Cable‐Stayed Bridges Based on Monitoring Data and Random Vehicle Models

Estimation of Extreme Cable Forces of Cable‐Stayed Bridges Based on Monitoring Data and Random Vehicle Models

A cointegration approach for cable anomaly warning based on structural health monitoring data: An application to cable-stayed bridges

Bridge Scour Identification and Field Application Based on Ambient Vibration Measurements of Superstructures

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