Mode shape-aided tension force estimation of cable with arbitrary boundary conditions

Yan, Banfu; Chen, Wenbing; Yu, Jiayong; Jiang, Xiaomo

doi:10.1016/j.jsv.2018.10.018

Cited by 53 publications

(41 citation statements)

References 23 publications

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“…In addition to the abovementioned studies, various studies based on modal data have investigated cable estimation techniques. For example, studies have employed methods using mode shapes, methods dealing with complicated boundary conditions (Chen et al, 2016;Chen et al, 2018;Yan et al, 2019), methods dealing with inclined cables (Kim and Park, 2007;Ma, 2017), methods using genetic algorithm and particle swarm optimization (Zarbaf et al, 2017) and methods using neural networks (Zarbaf et al, 2018). Studies are also conducted to relate tension to the natural frequencies of tensegrity structures using a finite element formulation (Ashwear and Eriksson, 2014;Ashwear and Eriksson, 2017).…”

Section: Introductionmentioning

confidence: 99%

Tension Estimation Method for Cable With Damper Using Natural Frequencies

Furukawa

Hirose

Kobayashi

2021

Front. Built Environ.

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In the maintenance of cable structures, such as cable-stayed bridges and extra-dosed bridges, it is necessary to estimate the tension acting on the cables. The safety of a cable is confirmed by checking whether the tension acting on the cable is within the allowable value. In current Japanese practice, the tension of a cable is estimated using the vibration method or the higher-order vibration method, which considers the natural frequencies of the cable. However, in recent years, the aerodynamic vibration of cables caused by wind has become a problem owing to the recent increase in the cable length and low damping performance of the cable itself. To suppress the aerodynamic vibration of cables, dampers are installed onto the cables. Because the damper changes the cable’s natural frequencies, the vibration method and higher-order vibration method are inappropriate for measuring the tension of a cable with a damper. In this paper, a new tension estimation method for a cable with a damper is proposed. To model a cable with a tensioned Bernoulli-Euler beam, theoretical equations for estimating the natural frequencies were derived. The proposed method inversely estimates the tension and bending stiffness of the cable and damper parameters, simultaneously, from the natural frequencies. The validity of the proposed method was confirmed by conducting numerical simulations and experiments. In the numerical verification, the performance of the proposed method was investigated using 80 numerical models. In the experimental verification, the estimation accuracy of the proposed method was investigated by considering 16 test cases. Thus, it was confirmed that the tension estimation accuracy was high, whereas the bending stiffness and damper parameter estimation accuracy was unsatisfactory. The tension estimation error was within 10% in all experimental cases, and within 5% if two test cases are excluded. The results obtained by the numerical and experimental verifications confirmed the effectiveness of the proposed method in tension estimation.

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Section: Introductionmentioning

confidence: 99%

Tension Estimation Method for Cable With Damper Using Natural Frequencies

Furukawa

Hirose

Kobayashi

2021

Front. Built Environ.

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“…In recent years, vision‐based system has become a powerful approach for displacement/vibration measurement in civil engineering (Dong, Celik, & Catbas, 2018; Dong, Celik, Catbas, O'Brien, & Taylor, 2020; Luo & Feng, 2018; S.W. Park, Park, Kim, & Adeli, 2015; Tian et al., 2019a), human‐induced impacting force measurement (Celik, Dong, & Catbas, 2018; Tian et al., 2019b), and cable force estimation (Feng, Scarangello, Feng, & Ye, 2017; Kim, Jeon, Kim, & Park, 2013; Yan, Chen, Yu, & Jiang, 2019). Although vision‐based system has been applied for cable dynamic properties estimation, it needs to be installed on a stationary tripod and sometimes the camera needs to be moved from one location to another location for the measurement of all cables owing to the limited field of view (FOV) of installed camera.…”

Section: Introductionmentioning

confidence: 99%

Noncontact cable force estimation with unmanned aerial vehicle and computer vision

Tian

Zhang

Jiang

et al. 2020

Computer aided Civil Eng

111

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Cables and hangers are critical components of long-span bridges, tension forces of them are needed to be accurately measured for ensuring the safety of bridges. Traditionally, cable tension forces are measured by attached accelerometers or elastomagnetic (EM) sensors, however, applying these sensors into engineering practice are time-consuming, labor-intensive, and highly dangerous. To address these problems, an unmanned aerial vehicle (UAV)-based noncontact cable force estimation method with computer vision technologies was proposed in this article. Basic concept of the proposed method is to use the UAV-installed camera for capturing vibration images of cables from a certain distance and cable dynamic properties are extracted by analyzing captured images. It includes two aspects: (a) a line segments detector (LSD) was employed for detecting cable edges from captured video and a line matching algorithm was further proposed for extracting dynamic displacements; (b) the frequency differ-Frequency Difference/ Hz Cable Force / kN F I G U R E 14 Results of the studied suspension bridge: (a) Fourier spectrum by the proposed method; (b) Fourier spectrum by using attached accelerometer; (c) frequency difference; and (d) cable force How to cite this article: Tian Y, Zhang C, Jiang S, Zhang J, Duan W. Noncontact cable force estimation with unmanned aerial vehicle and computer vision.

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“…This stems from the fact that due to the high in-plane flexibility of a longer stay cable (L > 250 m), its end anchorage condition is more agreeable with a hinged-hinged boundary condition rather than a fixed-fixed condition. 46 Therefore, the actual energy dissipation capability is greater than that predicted by the asymptotic damping ratio equation, Equation 2. On the other hand, accurate numerical models are available to analyze the dynamic response of a cable-damper system, such as the MSM-based control-oriented model proposed in Javanbakht et al 44 This model relaxes the aforementioned assumptions and can thus accurately evaluate the NSD performance.…”

Section: Refinement Of Nsd Designmentioning

confidence: 93%

Impact of support stiffness on the performance of negative stiffness dampers for vibration control of stay cables

Javanbakht

Cheng

Ghrib

2020

Struct Control Health Monit

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Summary Bridge stay cables are susceptible to dynamic excitations due to their low intrinsic damping and lateral stiffness. Installation of transverse passive dampers near the cable‐deck anchorage on a rigid/flexible support is one of the practical measures to mitigate cable vibrations. The limited performance of conventional positive stiffness dampers (PSDs) has led to the emergence of negative stiffness dampers (NSDs). Recent research has found that unlike PSD, NSD would perform more effectively in the presence of a flexible support. In this study, the impact of damper support stiffness on the NSD control performance is investigated. Based on an existing analytical design formula for achieving a target damping ratio, the design of NSD for a given support condition, the design of damper support for a given NSD, and the design of the entire NSD‐support system are addressed. An optimization algorithm is proposed to identify the optimum combination of NSD parameters and damper support stiffness. The NSD design is refined through numerical iterations to minimize the impact of assumptions made in developing the analytical formulation. A numerical example is presented for a 325 m long stay cable equipped with an optimized NSD and subjected to harmonic excitation. The optimized NSD performance is compared with an optimal active linear‐quadratic regulator (LQR) controller. Results show that the presence of flexible support leads to a cost‐efficient NSD with smaller size and lower level of negative stiffness. Moreover, the optimized NSD is shown to be as effective as LQR to suppress cable vibrations.

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Mode shape-aided tension force estimation of cable with arbitrary boundary conditions

Cited by 53 publications

References 23 publications

Tension Estimation Method for Cable With Damper Using Natural Frequencies

Tension Estimation Method for Cable With Damper Using Natural Frequencies

Noncontact cable force estimation with unmanned aerial vehicle and computer vision

Impact of support stiffness on the performance of negative stiffness dampers for vibration control of stay cables

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