A novel methodology for modal parameter identification of arch dam based on multi-level information fusion

Wang, Gang; Li, Huokun; Fu, Zhiyong; Huang, Wei; Liu, Bo; Yao, Siyang

doi:10.1016/j.ymssp.2022.109578

Cited by 22 publications

(3 citation statements)

References 51 publications

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“…To verify the superiority of the MOE modal identification method, it is compared with two advanced modal identification methods: Random Decrement Technique-based Stochastic Subspace Identification (RDT-SSI) [26] and Improved INHT [27]. Table 3 lists the results and error rates of each method in determining the modal frequencies, where the theoretical values are obtained using the modal superposition method applied in the previous steady-state dynamics module.…”

Section: Modal Frequency Identification Methods Verificationmentioning

confidence: 99%

Research on online monitoring method for time-varying tension in transmission lines based on operational modal response

Liu,

Zhao,

Wen

et al. 2024

Meas. Sci. Technol.

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The cumulative overload of conductor tension under severe weather conditions is an important cause of accelerated fatigue fracture of transmission lines. Traditional tension measurement methods require the replacement of ball head hanging rings, which poses safety risks. In this paper, a method for monitoring conductor tension based on acceleration data under operating conditions is proposed. Firstly, a modal order extraction based method for identifying the modal frequencies of conductor operation is proposed, and then the time-varying tension of the conductor is estimated based on the instantaneous modal frequencies. Since this method directly installs sensors on the conductor, there is a certain error in the obtained intrinsic characteristic data of the conductor. Therefore, a modal correction method is used to remove the influence of the sensors. The accuracy of modal identification, modal correction, and tension identification methods is verified through finite element models. Based on the above methods, a monitoring system for conductor tension status is designed, and the feasibility of this system is verified through experiments. Finally, the vibration data obtained from the field engineering pilot test is successfully used for conductor tension analysis. The results show that the proposed method can effectively identify time-varying tension and provide a new approach for monitoring the status of transmission line conductors.

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Section: Modal Frequency Identification Methods Verificationmentioning

confidence: 99%

Research on online monitoring method for time-varying tension in transmission lines based on operational modal response

Liu,

Zhao,

Wen

et al. 2024

Meas. Sci. Technol.

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“…After the original signals were decomposed by CEEMDAN to obtain the IMF components, the intensity of the noise in each IMF component could be determined by calculating the multi-scale permutation entropy (MPE) value. This measured the randomness of the time variance values of the signals at different scales [23], with a magnitude approaching 1 indicating relatively high randomness and non-stationarity values. The MPE threshold was set to 0.6 [24] in this work, and the MPE values of IMF components higher than or equal to 0.6 were regarded as noisy components and needed further filtering out by the wavelet threshold denoising (WTD) method.…”

Section: Signal Denoisingmentioning

confidence: 99%

Chaotic Characteristic Analysis of Spillway Radial Gate Vibration under Discharge Excitation

Lu,

Liu,

Zhang

et al. 2023

Applied Sciences

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This paper aims to assess the nonlinear vibration of a radial gate induced by flood discharge; the measured acceleration response data of a spillway radial gate are analyzed using the chaos theory. The results show that the vibration responses of the gate at three opening heights present clear chaotic characteristics, and the chaotic characteristics of the lower main beam point are greater than other points. Moreover, the y-direction (vertical) correlation dimensions of the three measuring points on the supporting arm are larger than those of the x-direction (axial) and z-direction (lateral). The vertical vibration of the supporting arm is more complex and presents more uncertainties, which should be paid attention to in the literature. Under three different gate opening heights, the maximum Lyapunov exponent of each measuring point ranges from 0.0246 to 0.0681. In addition, the flow fluctuation load is the main excitation source of the gate vibration chaotic characteristics.

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“…D-S evidence theory is more widely applicable as it can integrate information from different levels without requiring prior information, and it has a solid ability to handle evidence conflicts, making it more widely used in structural damage identification [21]. Currently, data fusion methods are commonly employed in damage identification applications, including acceleration monitoring [22,23] displacement monitoring [24,25] and traditional point strain monitoring [26,27]. However, there is few research on data fusion damage identification based on long-gauge strain sensor monitoring.…”

Section: Introductionmentioning

confidence: 99%

A data fusion-based approach for structural damage detection with distributed long-gauge strain measurements

Zhou,

Ding,

Fang

et al. 2024

Meas. Sci. Technol.

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Distributed long gauge strain sensing technology has solved the problem of difficult identification of local damage in traditional "point" monitoring, and has received extensive attention in the field of structural damage identification. Owing to the inevitable presence of measurement noise and environmental factors in the macro strain response measurement, a single damage index has also underlined some drawbacks generally arising when multiple damages occur, or errors affect the identified dynamic properties of the systems. To address these challenges, this paper proposes a data fusion method based on the Dempster-Shafer evidence theory, relying on distributed strain sensing technology. The identification results of the modal macro strain-based index and quasi-static macro strain energy-based damage index are fused to make a comprehensive decision on structural damage location. Damage identification studies are conducted on different types of structures under impact loads and random wind loads to verify the effectiveness and accuracy of the proposed data fusion method in the case of single and multiple damage conditions. The results show that the proposed data fusion method can accurately identify the damage location and effectively reduce misjudgement on undamaged locations; it has potential application value in practical structural health monitoring.

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A novel methodology for modal parameter identification of arch dam based on multi-level information fusion

Cited by 22 publications

References 51 publications

Research on online monitoring method for time-varying tension in transmission lines based on operational modal response

Research on online monitoring method for time-varying tension in transmission lines based on operational modal response

Chaotic Characteristic Analysis of Spillway Radial Gate Vibration under Discharge Excitation

A data fusion-based approach for structural damage detection with distributed long-gauge strain measurements

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