Vibration Anatomy and Damage Detection in Power Transmission Towers with Limited Sensors

Mohammadi, Reza Karami; Mirtaheri, Masoud; Salkhordeh, Mojtaba; Hariri-Ardebili, Mohammad Amin

doi:10.3390/s20061731

Cited by 20 publications

(12 citation statements)

References 37 publications

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“…Table 1 and 2 depict ground motion record of near and farfield earthquakes, respectively, in which, collected data is comprised of information such as earthquake number, Richter scale, year in which earthquake occurred, name of earthquake, name of recording station, and finally its owner. These near fault motions cover a moment magnitude range from 6.2 to 7.5 and a rupture distance (closest distance from site to fault rupture plane) range from 0.0 to 8:9 km [16,17,21]. The spectrum of heptad ground motion records regarding near and far-field earthquakes, as well as collected data about comparison of these earthquakes with the sample are shown in figures 3, 4, 5, and 6.…”

Section: Features Of Earthquakesmentioning

confidence: 99%

Evaluation of 2D concentrically braced frames with cylindrical dampers subjected to near-field earthquake ground motions

Mirtaheri

Salkhordeh

Kolbadi

et al. 2020

NMCE

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Near field earthquakes have imposed major damage to buildings in the past years. In some cases, the intensity of such damage is too considerable to be disregarded. The most effective way to improve seismic performance of buildings is applying a seismic control technique. The cylindrical friction damper is one of these methods, which has become popular for its desirable performance in the energy dissipation of lateral loads. The main objective of this study is to evaluate the near-field seismic performance of braced frame buildings equipped with cylindrical friction dampers. In this regard, four steel braced frame buildings, including a 4-, 8-, 12-, and 16-story braced frame building are modeled in OpenSees platform. Then, a set of near-field earthquake motions are applied to these structures and the structural response is captured in each story. Results show that there is a direct relation between the optimal slip load and the intensity of the input earthquake. In the next step, the structures are analyzed by selecting the optimum slip load for the damper. It is revealed that cylindrical friction dampers improved structural performance in terms of energy absorption of the structure. However, findings confirm that there is an indirect relationship between the number of floors in a building and the above mentioned feature of these dampers.

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Section: Features Of Earthquakesmentioning

confidence: 99%

Evaluation of 2D concentrically braced frames with cylindrical dampers subjected to near-field earthquake ground motions

Mirtaheri

Salkhordeh

Kolbadi

et al. 2020

NMCE

Self Cite

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“…One common approach to SHM is the vibration-based method, where the response to an excitation is analyzed [ 4 , 5 , 6 , 7 , 8 , 9 ] The underlying assumption is that the change in the level of damage can be observed as a change in the structure’s responses, such as natural frequencies and damping ratios. It follows that the primary task for vibration-based approaches is to quantify the difference between responses.…”

Section: Introductionmentioning

confidence: 99%

High-Dimensional Phase Space Reconstruction with a Convolutional Neural Network for Structural Health Monitoring

Chen

Chiang

Chiu

et al. 2021

Sensors

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In order to accurately diagnose the health of high-order statically indeterminate structures, most existing structural health monitoring (SHM) methods require multiple sensors to collect enough information. However, comprehensive data collection from multiple sensors for high degree-of-freedom structures is not typically available in practice. We propose a method that reconciles the two seemingly conflicting difficulties. Takens’ embedding theorem is used to augment the dimensions of data collected from a single sensor. Taking advantage of the success of machine learning in image classification, high-dimensional reconstructed attractors were converted into images and fed into a convolutional neural network (CNN). Attractor classification was performed for 10 damage cases of a 3-story shear frame structure. Numerical results show that the inherently high dimension of the CNN model allows the handling of higher dimensional data. Information on both the level and the location of damage was successfully embedded. The same methodology will allow the extraction of data with unsupervised CNN classification to be consistent with real use cases.

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“…e performance of such infrastructures under ambient vibrations as well as the operational loads may reduce over their life-time. Failure of the dams leads to irreparable losses for beneficiary communities near these structures [1,2]. e most important catastrophes that occurred in the recent years include the failure in 1864 of a 30 m embankment dam which claimed 254 people in Sheffield, UK [3], Canyon lake dam that claimed the lives of 236 people in Texas, USA [4], and Austin dam disaster that claimed the lives of 78 people [5].…”

Section: Introductionmentioning

confidence: 99%

A System Identification‐Based Damage‐Detection Method for Gravity Dams

Mirtaheri

Salkhordeh

Mohammadgholiha

2021

Shock and Vibration

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Dams are essential infrastructures as they provide a range of economic, environmental, and social benefits to the local populations. Damage in the body of these structures may lead to an irreparable disaster. This paper presents a cost-effective vibration-based framework to identify the dynamic properties and damage of the dams. To this end, four commonly occurred damage scenarios, including (1) damage in the neck of the dam, (2) damage in the toe of the structure, (3) simultaneous damage in the neck and the toe of the dam, and (4) damage in the lifting joints of the dam, are considered. The proposed method is based on processing the acceleration response of a gravity dam under ambient excitations. First, the random decrement technique (RDT) is applied to determine the free-vibration of the structure using the structural response. Then, a combined method based on Hilbert–Huang Transform (HHT) and Wavelet Transform (WT) is presented to obtain the dynamic properties of the structure. Next, the cubic-spline technique is used to make the mode shapes differentiable. Finally, Continuous Wavelet Transform (CWT) is applied to the residual values of mode shape curvatures between intact and damaged structures to estimate the damage location. In order to evaluate the efficiency of the proposed method in field condition, 10% noise is added to the structural response. Results show promising accuracy in estimating the location of damage even when the structure is subjected to simultaneous damage in different locations.

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Vibration Anatomy and Damage Detection in Power Transmission Towers with Limited Sensors

Cited by 20 publications

References 37 publications

Evaluation of 2D concentrically braced frames with cylindrical dampers subjected to near-field earthquake ground motions

Evaluation of 2D concentrically braced frames with cylindrical dampers subjected to near-field earthquake ground motions

High-Dimensional Phase Space Reconstruction with a Convolutional Neural Network for Structural Health Monitoring

A System Identification‐Based Damage‐Detection Method for Gravity Dams

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