Structural Health Monitoring-Oriented Finite-Element Model for a Large Transmission Tower

Dong, Jun; Han, Xiaolin; Fei, Qingguo

doi:10.1007/s40999-016-0069-3

Cited by 28 publications

(11 citation statements)

References 14 publications

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“…However, we should not disregard the fact that some discrepancies still exist between measured and computed modal frequencies after parameter identification. These discrepancies are probably caused by (1) the FE model’s basic configuration partly deviates from the physical truth, for example, the soil–pile–structure interaction is not considered (Cheng et al, 2016) and (2) the ambient modal test might be inaccurate due to many influences, for example, the measurement noise, the temperature variation, the effect of the modal identification method, and so on (Cheng et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…Since it has been found by our previous study that the material properties for the four upright main chords have more significant influence on low-order modal frequencies than parameters for other parts (Cheng et al, 2016), 20 sets of Young’s modulus for beam-end connections distributed along the four main chords are selected for parameter identification considering the symmetry of structural configuration (P1–P20 in Figure 3), including 8 sets of Young’s modulus for flange joints and 12 for weld joints. Each beam-end connection covers 3.5–4.5 m of the main chord in length as shown in the local enlarged drawing in Figure 3.…”

Section: Parameter Identificationmentioning

confidence: 85%

“…Peak picking was employed for modal data identification based on the principle that the frequency response function reaches extreme values approximately at the structure's natural frequencies. Details on the in situ measurement are reported by Cheng et al (2016). The identified first to eighth modal frequencies and damping ratios are listed in Table 1, which provide sufficient references for accurate FE modeling of the tower.…”

Section: Engineering Background and In Situ Measurementmentioning

confidence: 99%

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Beam-end stiffness identification for a structural health monitoring-oriented finite-element transmission tower model using effective optimization techniques

Peng

Khan²,

Dong

2018

Advances in Structural Engineering

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As an important issue for establishing structural health monitoring–oriented finite element models for large steel pylons, identification of beam-end stiffness draws the attention of the engineering circle. Since the methods adopted by other researchers for parameter identification are impracticable, a beam-end stiffness identification method which combines in situ measurements for the structure’s global dynamic properties with effective multi-variable optimization methods is utilized to improve the accuracy of established finite element models. A 131-m-high large transmission tower is employed as a case study to validate the method. In situ measurements for the tower’s global dynamic characteristics are performed, and identifications of Young’s modulus for 20 semi-rigid connections distributed along each of the tower’s four main chords are undertaken utilizing three multi-variable optimization methods, that is, the first-order method, the subproblem approximation method, and the response surface method. Static numerical simulations on two detailed connection models prove that multiple uncertain parameters can be correctly and simultaneously identified when appropriate optimization techniques are chosen. Finally, the influence of beam-end stiffness identification on the structural health monitoring–oriented structural safety assessment is revealed by calculating the wind-induced dynamic structural responses for the single tower and the transmission tower-line system, which indicates that identification of the correct beam-end stiffness and updating the structural health monitoring–oriented finite element model are indispensable procedures for reliable structural health monitoring.

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Section: Resultsmentioning

confidence: 99%

Section: Parameter Identificationmentioning

confidence: 85%

Section: Engineering Background and In Situ Measurementmentioning

confidence: 99%

See 1 more Smart Citation

Beam-end stiffness identification for a structural health monitoring-oriented finite-element transmission tower model using effective optimization techniques

Peng

Khan²,

Dong

2018

Advances in Structural Engineering

Self Cite

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“…Although tower structures have been reinforced with better construction technology and stronger materials, the risk of structural accidents cannot be avoided [29]. Several studies have focused on the structural health monitoring of tower-like structures [30][31][32]; however, the accuracy of damage detection is seriously interfered with by the complex operating environment, including temperature and wind load. e number of tower and mast structures located in one urban district is relatively large, and the structural form of each tower and mast structure is simple.…”

Section: Introductionmentioning

confidence: 99%

Condition Assessment of Tower and Mast Structures Monitored within One Cluster under Changing Environments

Liu

2020

Advances in Civil Engineering

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Numerous communications and power towers are distributed around urban districts. To ensure the safety of tower and mast structures, an effective measurement is to establish a simple structural health monitoring (SHM) system for each tower structure to obtain continuous deformation data of all structures. However, there is little research focusing on evaluating the condition of tower and mast structures monitored within one cluster using deformation monitoring data. To address this issue, a condition assessment approach combining principal component analysis (PCA) with cross-validation is proposed in this study. The PCA-based method is applied to mitigate the influence of environmental temperature and speed load on the horizontal displacement monitoring data, and novelty detection based on cross-validation is adopted to evaluate the condition of all the tower and mast structures monitored within one cluster. Finally, the effectiveness of the proposed method is demonstrated using monitoring data obtained from actual tower and mast structures.

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“…In [16], a modal identification method without cable was studied in a laboratory environment, but in practice, cable is not negligible. Reference [17] established a finite element model for the health monitoring of the tower structure of a 131-metre large transmission tower and obtained the conclusion that the ladder, steel plate and bolt have no influence on the overall stiffness of the tower. Reference [18] proposed an optimization method for the installation position of an acceleration sensor.…”

Section: Introductionmentioning

confidence: 99%

A Vibration-Based Structural Health Monitoring System for Transmission Line Towers

et al. 2019

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In this paper, we present a vibration-based transmission tower structural health monitoring system consisting of two parts that identifies structural changes in towers. An accelerometer group realizes vibration response acquisition at different positions and reduces the risk of data loss by data compression technology. A solar cell provides the power supply. An analyser receives the data from the acceleration sensor group and calculates the transmission tower natural frequencies, and the change in the structure is determined based on natural frequencies. Then, the data are sent to the monitoring center. Furthermore, analysis of the vibration signal and the calculation method of natural frequencies are proposed. The response and natural frequencies of vibration at different wind speeds are analysed by time-domain signal, power spectral density (PSD), root mean square (RMS) and short-time Fouier transform (STFT). The natural frequency identification of the overall structure by the stochastic subspace identification (SSI) method reveals that the number of natural frequencies that can be calculated at different wind speeds is different, but the 2nd, 3rd and 4th natural frequencies can be excited. Finally, the system was tested on a 110 kV experimental transmission line. After 18 h of experimentation, the natural frequency of the overall structure of the transmission tower was determined before and after the tower leg was lifted. The results show that before and after the tower leg is lifted, the natural frequencies of each order exhibit obvious changes, and the differences in the average values can be used as the basis for judging the structural changes of the tower.

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Structural Health Monitoring-Oriented Finite-Element Model for a Large Transmission Tower

Cited by 28 publications

References 14 publications

Beam-end stiffness identification for a structural health monitoring-oriented finite-element transmission tower model using effective optimization techniques

Beam-end stiffness identification for a structural health monitoring-oriented finite-element transmission tower model using effective optimization techniques

Condition Assessment of Tower and Mast Structures Monitored within One Cluster under Changing Environments

A Vibration-Based Structural Health Monitoring System for Transmission Line Towers

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