Vibration-based structural health monitoring of offshore pipelines: numerical and experimental study

Bao, Chen; Hao, Hong; Li, Zhongxian

doi:10.1002/stc.1494

Cited by 53 publications

(46 citation statements)

References 22 publications

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“…

\overset{x}{true}

is the acceleration of motion;

\overset{x}{true}

is the speed, and x is the displacement. According to Equation , scholars can identify the structural changes from the vibration response, such as structural health monitoring on transmission towers and offshore pipelines . In terms of the transmission line conductor, when a strand breaks, the vibration response changes.…”

Section: Introductionmentioning

confidence: 99%

Aeolian vibration‐based structural health monitoring system for transmission line conductors

Zhao

Huang

Zhang

et al. 2020

Struct Control Health Monit

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Summary The transmission line in a power network is similar to a blood vessel. Any disconnection ultimately affects the transmission of electrical energy, and broken strands and detachment of the fittings are early signs of disconnection. Because aeolian vibration occurs on almost all conductors, an aeolian vibration‐based structural health‐monitoring technology for transmission lines is proposed. First, the influence of strand breakage and detachment of the fittings on the natural frequency of the conductor is described, and the influence of temperature changes on the natural frequency is discussed from the two aspects of the temperature‐dependent elastic modulus and temperature‐dependent winding angle. Second, we conducted a vibration experiment and found the law of natural frequency variation caused by broken strands, detachment of the fittings, and temperature changes. Finally, we conducted a field test to measure the conductor vibration on a 110‐kV transmission line. The results show that the natural frequency can be calculated multiple times by the stochastic subspace identification method, and the calculation results are consistent. After a period of measurement, the natural frequency variation is analyzed. Further, how to determine the structural health of the conductor from the natural frequency measured by the technique under actual operating conditions is explained.

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“…

\overset{x}{true}

is the acceleration of motion;

\overset{x}{true}

Section: Introductionmentioning

confidence: 99%

Aeolian vibration‐based structural health monitoring system for transmission line conductors

Zhao

Huang

Zhang

et al. 2020

Struct Control Health Monit

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show abstract

“…SSI methods can be also classified as physics‐based (e.g., finite element models [FEMs]) or nonphysics‐based models (neural networks models, autoregressive models, or rational polynomial models). The parameters of physics‐based models represent the structural characteristics, for example, elastic modulus, inertias, and mass, whereas the parameters of the nonparametric models are weight factors of the adopted basis functions, which have no physical meaning and are determined by minimizing the discrepancy between the predicted and the measured response.…”

Section: Introductionmentioning

confidence: 99%

Constrained observability method in static structural system identification

Lei

Nogal

Galant

et al. 2017

Struct Control Health Monit

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SummaryIdentifiability of parameters in structural system identification (SSI) is of primary importance in any SSI method. It depends on the number and the location of the measurements, which is linked with sensor configuration. In this paper, under the framework of SSI by observability method (OM), the number of necessary measurements to identify all parameters of structural system was clarified first. Then, an example was solved step by step to show the lacking constraints among unknowns in SSI by OM. In a frame example, it was found that no measurement set having as many measurements as the number of unknowns was able to identify all parameters. To further understand this phenomenon, the observability of a simply supported beam was analyzed in an exhaustive way using 252 possible measurement sets. Three quarters of these sets were not able to identify all the parameters. In order to solve this issue, for the very first time, SSI by constrained observability method (COM), which appends the nonlinear constraints to SSI by OM, was proposed. With SSI by COM applied, the observability of the structural parameters with respect to the 252 sets was greatly improved. Finally, the efficacy of SSI by COM was verified by a 13-story frame building.

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“…Vibration-based structural health monitoring (VB-SHM) of submerged structures has received several researchers' attentions in recent years Zhu et al 2008;Chen et al 2010;Na and Kundu 2002;Bao et al 2013;Rizzo et al 2010]. Some of these studies have included numerical simulations of their damage detection case studies in addition to their experimental verifications Zhu et al 2008;Chen et al 2010;Bao et al 2013].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2015

J. Mech. Mater. Struct.

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This work aims to provide further insight into the modeling aspects and influence of some important parameters involved in the simulation of vibration of submerged pipes, especially in relation to vibrationbased structural health monitoring (VB-SHM) techniques. Two widely used techniques for modeling submerged pipelines, namely the "added mass" and "coupled acoustic-structural" approaches are compared, and their limitations and advantages in the context of VB-SHM are highlighted. Moreover, the paper also presents a comprehensive study of the effect of operational variability on the accuracy of VB-SHM of offshore pipelines. It is demonstrated that the geometric stiffness produced by the operational variability (such as changes in the internal and external pressures of pipelines) could variably alter the overall stiffness of such submerged bodies, hence affecting their dynamic response. Depending on the pipe stiffness, the imposed variations could significantly affect the accuracy of VB-SHM trials.

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Vibration-based structural health monitoring of offshore pipelines: numerical and experimental study

Cited by 53 publications

References 22 publications

Aeolian vibration‐based structural health monitoring system for transmission line conductors

Aeolian vibration‐based structural health monitoring system for transmission line conductors

Constrained observability method in static structural system identification

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