Monitoring the Management Limit of Cable Tension Force for the Nielsen Arch Bridge

2021 ◽  
Vol 31 (6) ◽  
pp. 661-667
Author(s):  
In Ki Moon ◽  
Sun Min Choi ◽  
Du San Kim
Keyword(s):  
Tension Force ◽  
Cable Tension ◽  
Arch Bridge

Development of a Low-Cost Automated Tension Estimation System for Cable-Stayed Bridges

2008 ◽  
Author(s):  
Soojin Cho ◽  
Jerome Peter Lynch ◽  
Chung-Bang Yun
Keyword(s):  
Low Cost ◽  
Tension Force ◽  
Modal Parameters ◽  
Wireless Sensing ◽  
Force Estimation ◽  
Cable Tension ◽  
Embedded Algorithms ◽  
Estimation System ◽  
Automated Software ◽  
Cable Stayed Bridges

Cable tension force is one of the most important structural parameters to monitor in cable-stayed bridges. For example, cable tension needs to be monitored during construction and maintenance to ensure the bridge is not overloaded. To economically monitor tension forces, this study proposes the use of an automated wireless tension force estimation system (WFTES) developed solely for cable force estimation. The design of the WFTES system can be divided into two parts: low-cost hardware and automated software. The low-cost hardware consists of an integrated platform containing a wireless sensing unit constructed from commercial off-the-shelf components, a low-cost commercial MEMS accelerometer, and a signal conditioning board for signal amplification and filtering. With respect to the automated software, a vibration-based algorithm using estimated modal parameters and information on the cable sag and bending stiffness is embedded into the wireless sensing unit. Since modal parameters are inputs to the algorithm, additional algorithms are necessary to extract modal features from measured cable accelerations. To validate the proposed WFTES, a scaled-down cable model was constructed in the laboratory using steel rope wire. The wire was exposed to broad-band excitations while the WFTES recorded the cable response and embedded algorithms interrogated the measured acceleration to estimate tension force. The results reveal the embedded algorithms properly identify the lower natural frequencies of the cable and make accurate estimates of cable tension. This paper concludes with a summary of the salient research findings and suggestions for future work.

Research on Monitoring and Control for Suspender Cable Tension of Half-Through Concrete Filled Steel Tube Arch Bridge

2013 ◽  
Vol 859 ◽  
pp. 131-134
Author(s):  
Fu Li Zhao ◽  
Yi Qiang Xiang ◽  
Qiang Qiang Wu
Keyword(s):  
Steel Tube ◽  
Calculation Formula ◽  
Test Results ◽  
Monitoring And Control ◽  
Frequency Method ◽  
Cable Tension ◽  
Arch Bridge ◽  
Concrete Filled Steel Tube ◽  
Cable Force ◽  
Force Calculation

The measurement accuracy of the cable tensions in the hanger rods of concrete filled steel tube arch bridges is important for the correct evaluation of bridges condition. Based on Jinpan Bridge-a half through concrete filled steel tube arch bridge with 80 m span in Tiantai, it was put forward the vibration frequency method for testing and evaluate suspender tensions with the help of analysis vibration characters of the suspender. The precision of cable force calculation formula was verified after comparing the practical tension with the designed tension obtained from tension jack method. Then, according to the test results and values predicted by the presented cable force calculation formula, the cable tensions were adjusted. Cable tension test results in the finished bridge show that this method is feasible.

scholarly journals Self-Localization of Tethered Drones without a Cable Force Sensor in GPS-Denied Environments

Drones ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 135
Author(s):  
Amer Al-Radaideh ◽  
Liang Sun
Keyword(s):  
Original Problem ◽  
Pulse Width Modulation ◽  
Thrust Force ◽  
Three Dimensional ◽  
Force Sensor ◽  
Tension Force ◽  
Cable Tension ◽  
Inertial Measurement ◽  
Cable Force ◽  
Measurement Units

This paper considers the self-localization of a tethered drone without using a cable-tension force sensor in GPS-denied environments. The original problem is converted to a state-estimation problem, where the cable-tension force and the three-dimensional position of the drone with respect to a ground platform are estimated using an extended Kalman filter (EKF). The proposed approach uses the data reported by the onboard electric motors (i.e., the pulse width modulation (PWM) signals), accelerometers, gyroscopes, and altimeter, embedded in the commercial-of-the-shelf (COTS) inertial measurement units (IMU). A system-identification experiment was conducted to determine the model that computes the drone thrust force using the PWM signals. The proposed approach was compared with an existing work that assumes known cable-tension force. Simulation results show that the proposed approach produces estimates with less than 0.3-m errors when the actual cable-tension force is greater than 1 N.

scholarly journals Fully Automated and Robust Cable Tension Estimation of Wireless Sensor Networks System

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7229
Author(s):  
Min Zhang ◽  
Huating He ◽  
Gengying Li ◽  
Haiyang Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Natural Frequencies ◽  
Wireless Sensor ◽  
Tension Force ◽  
Modal Parameters ◽  
Accurate Estimation ◽  
Network Systems ◽  
Cable Tension ◽  
Estimation System

Accurate estimation of cable tension is crucial for the structural health monitoring of cable-supported structures. Identifying the cable’s force from its vibration data is probably the most widely adopted method of cable tension estimation. According to string theory, the accuracy of estimated cable tension is highly related to identified modal parameters including natural frequencies and frequency order. To alleviate the factors that impact the accuracy of modal parameters when using the peak-picking method in wireless sensor networks, a fully automated and robust identifying method is proposed in this paper. This novel method was implemented on the Xnode wireless sensor system and validated with the data obtained from Jindo Bridge. The experiment results indicate that, through this method, the wireless sensor is able to distinguish the cognizable power spectrum, extract the peaks, eliminate false frequencies and determine frequency orders automatically to estimate cable tension force without any manual intervention or preprocessing. Meanwhile, the results of natural frequencies, corresponding orders and cable tension force obtained from the Xnode system show excellent agreement with the results obtained using the Matlab program method. This demonstrates the effectiveness and reliability of the Xnode estimation system. Furthermore, this method is also appropriate for other high-performance wireless sensor network systems to realize self-identification of cable in long-term monitoring.

Virtual test system of cable tension force based on LabVIEW

2003 ◽  
Author(s):  
Qi Fu ◽  
Yan Deng ◽  
Taopeng Qiao ◽  
Puqiang Yan
Keyword(s):  
Test System ◽  
Tension Force ◽  
Cable Tension ◽  
Virtual Test
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