Bayesian Operational Modal Analysis with Interactive Optimization for Model Updating of Large-Size UHV Transmission Towers

Zhu, Yanming; Sun, Qing; Zhao, Chao; Qi, Hao; Su, Youhua

doi:10.1061/jsendh.steng-12503

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…By determining the stiffness, mass, and damping matrices of the STTT and the wind load vector, its dynamic FE model is established. For better properties of efficiency and fitting actual engineering practice, the gusset plates and bolts of joints are not established in the FE model [14,17,32] , and the semi-rigid connections are adopted to represent the joints [23] . It is assumed that the elastic modulus, the Poisson' s ratio, and the density of steel Normal 𝐷𝑛𝑚𝑙 × 1.00 0.05 [33] Thickness 𝑡𝑠 Normal 𝑡𝑠,𝑛𝑚𝑙 × 1.00 0.05 [33] Damping ratio 𝜉 Normal 0.02 0.4 [34] Elastic modulus 𝐸 Lognormal 2.06 × 105 (MPa) 0.03 [33] Poisson ratio 𝜈0 Lognormal 0.3 0.03 [33] Yield strength 𝑓𝑦 Lognormal 387 (MPa) 0.07 [33] Elementary random variables for wind speed Θ1 Uniform 𝜋 1/3 0.5 [17] Θ2 Uniform 𝜋 1/3 0.5 [17] Semi-rigid connection 𝑘 Uniform 175 (kN•m/rad) 5 × 3 0.5 /21 [23] COV is the coefficient of variation; 𝑡𝑠,𝑛𝑚𝑙 is the nominal value of thicknesses of steel tube members; 𝐷𝑛𝑚𝑙 is the nominal value of outer diameters of steel tube members.…”

Section: Description Of the Transmission Towermentioning

confidence: 99%

“…Shen et al and Li et al studied the effect of conductor and insulator breakages on the dynamic response of transmission tower-line systems, respectively [6,7] . Additionally, some studies [8][9][10][11][12][13][14] focused on the determination of dynamic characteristics (e.g., modal parameters) of tower structures, and other research efforts [15,16] aimed to conduct the size and shape optimization and wind-induced vibration control for guyed structures. Furthermore, owing to the uncertainties associated with wind loads, materials, and dimensions, structural responses of transmission towers would exhibit random characteristics.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic stress response and dynamic reliability evaluation for transmission towers with semi-rigid behaviors

Tang,

Wang,

et al. 2023

Disaster Prevention and Resilience

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As a kind of typical wind-sensitive structure, transmission towers have attracted fast-growing attention in the field of their wind-induced dynamic response. Nevertheless, their dynamic response considering effects of semi-rigid connected joints and semi-rigid-constrained stability behaviors has not been investigated. To this end, based on the experimental and numerical study, this paper proposes a fitting formula for the stability coefficient of steel tube members with semi-rigid behaviors in transmission towers to determine the dynamic stress response. Then, the stiffness, mass, and damping matrices of steel-tube transmission towers (STTTs) with semi-rigid behaviors are determined to construct their stochastic dynamic finite element model. Subsequently, the integral form of the generalized density evolution equation is solved via a family of Dirac's sequences to conduct the stochastic stress response analysis for STTTs considering effects of semi-rigid connected joints and semi-rigid-constrained stability behaviors, and their dynamic reliability is evaluated by further introducing the extreme-value distribution method. Finally, an engineering example of an existing STTT is given, and the results indicate that the semi-rigid connected joints and semi-rigid-constrained stability behaviors would significantly affect the stochastic stress response and dynamic reliability of STTTs. Accordingly, taking into account semi-rigid connected joints and semi-rigid-constrained stability behaviors may be more applicable for analysis and design of STTTs.

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Section: Description Of the Transmission Towermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stochastic stress response and dynamic reliability evaluation for transmission towers with semi-rigid behaviors

Tang,

Wang,

et al. 2023

Disaster Prevention and Resilience

View full text Add to dashboard Cite

show abstract

Bayesian uncertainty quantification of modal parameters and RRF identification of transmission towers with limited measured vibration data

Su,

Zhu,

Zhao

et al. 2024

Engineering Structures

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MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame

Qiang,

Sheng,

et al. 2024

Applied Sciences

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As a critical component of substations, the substation frames are characterized by significant height and span, which presents substantial challenges and risks in conducting dynamic response tests using traditional sensors. To simplify these difficulties, this paper introduces an experimental method utilizing MEMS sensor-based vibration acquisition. In this approach, smartphones equipped with MEMS sensors are deployed on the target structure to collect vibration data under environmental excitation. This method was applied in a dynamic field test of a novel composite substation frame. During the test, the proposed MEMS-based vibration acquisition method was conducted in parallel with traditional ultra-low-frequency vibration acquisition methods to validate the accuracy of the MEMS data. The results demonstrated that the MEMS sensors not only simplified the testing process but also provided reliable data, offering greater advantages in testing convenience compared with traditional contact methods. The modal parameters of the substation frame, including modal frequencies, damping ratios, and mode shapes, were subsequently identified using the covariance-driven stochastic subspace identification method. The experimental methodology and findings presented in this paper offer valuable insights for structural dynamic response testing and the wind-resistant design of substation frames.

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Bayesian Operational Modal Analysis with Interactive Optimization for Model Updating of Large-Size UHV Transmission Towers

Cited by 4 publications

References 49 publications

Stochastic stress response and dynamic reliability evaluation for transmission towers with semi-rigid behaviors

Stochastic stress response and dynamic reliability evaluation for transmission towers with semi-rigid behaviors

Bayesian uncertainty quantification of modal parameters and RRF identification of transmission towers with limited measured vibration data

MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame

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