Modelling and identification of bolted truss structure with the use of design of experiment approach

Szopa, Krystian; Iwaniec, Marek

doi:10.1016/j.istruc.2020.05.047

Cited by 14 publications

(4 citation statements)

References 27 publications

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“…While damping parameters show potential as a valuable damage indicator, measuring and understanding damping, as well as producing related indicators, remains challenging. Consequently, more research is required to establish links between different damage parameters and changes in damping parameters, which exceeds the scope of this study [35].…”

Section: Validation Examplementioning

confidence: 99%

Vibration feature extraction and fault detection method for transmission towers

Zhao,

Liu,

Yuan

et al. 2024

IET Science Measure & Tech

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This paper presents a novel bolt looseness detection method for power transmission towers based on vibration signal analysis. The proposed method utilizes pulse excitation to extract the vibration signal of the tower, which is then adaptively decomposed using the Variational Mode Decomposition of Spider Wasp optimizer (SWVMD). This overcomes limitations of traditional Variational Mode Decomposition methods by leveraging bio‐inspired optimization to improve signal decomposition. Simulated signals processed with different optimization methods verify the superiority of the SWO approach. Field tests on a 110‐kV transmission tower further demonstrate the effectiveness of the proposed SWVMD technique for analyzing on‐site vibration data. A new improved intrinsic multiscale sample entropy feature is also introduced for bolt state characterization. A Spider Wasp Support Vector Machine classifier is developed to realize accurate bolt loosening monitoring using the extracted features. Dynamic response tests under varying bolt conditions show that the method can identify early loosening and reduce tower damage risks compared to conventional techniques. This novel vibration‐based detection framework presents an innovative application of nature‐inspired computing for power infrastructure health monitoring.

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Section: Validation Examplementioning

confidence: 99%

Vibration feature extraction and fault detection method for transmission towers

Zhao,

Liu,

Yuan

et al. 2024

IET Science Measure & Tech

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“…The numerical and experimental mode shapes of the outof-plane modes 1 to 6 were quantitatively compared through a quality criteria proposed in [8]. For each mode r, this quantity measures the gap between the numerical and the experimental mode shapes, based on the MAC matrix ("Modal Assurance Criterion") [11]:…”

Section: 2mentioning

confidence: 99%

“…An experimental characterisation of the rotational stiffness of riveted joints, especially single-riveted ones, is still missing. of existing structures [8,9]. The experimental modal analysis carried out in this paper consists of measuring the structure's vibration properties in order to validate or update a finite element model of the beam.…”

Section: Introductionmentioning

confidence: 99%

Modal analysis of a riveted lattice beam for improved retrofitting operations

Franz,

Chataigner,

Dieng

et al. 2023

ce papers

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Wrought‐iron and mild‐steel riveted lattice beams are well‐represented in the metallic construction heritage of 1850‐1930. Many rafters and purlins of roof structures of train sheds or market halls are made of flat and angle bars assembled with single‐riveted joints. During retrofitting operations, those beams are often reinforced to prevent them from buckling. However, the assessment of the buckling risk depends strongly on the modelling assumptions regarding the out‐of‐plane rotational stiffness of the riveted joints. This paper therefore presents an experimental and numerical investigation aiming at quantifying this joint stiffness. A 3m‐long riveted lattice beam, dating from 1930, was collected from a demolition site. An experimental modal analysis was carried out and the measured natural frequencies and mode shapes were used to calibrate a finite‐element model of the beam. A parametric study suggests that the model with clamped connections, i.e. with high out‐of‐plane rotational stiffness, is in better agreement with the experimental results. This result could lead to a less conservative buckling risk assessment and less extensive strengthening measures.

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“…7. In order to capture the tower's oscillation induced by wind-induced load, accelerometers were positioned at both the apex of the tower and the intersection of the primary and inclined components of the tower structure [26]. The sampling rate of the sensors was configured at 200 Hz.…”

Section: Test Platform and Device Installationmentioning

confidence: 99%

A Monitoring Method for Transmission Tower Foots Displacement Based on Wind-Induced Vibration Response

Liu,

Zhao,

Wen

et al. 2023

SDHM

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The displacement of transmission tower feet can seriously affect the safe operation of the tower, and the accuracy of structural health monitoring methods is limited at the present stage. The application of deep learning method provides new ideas for structural health monitoring of towers, but the current amount of tower vibration fault data is restricted to provide adequate training data for Deep Learning (DL). In this paper, we propose a DT-DL based tower foot displacement monitoring method, which firstly simulates the wind-induced vibration response data of the tower under each fault condition by finite element method. Then the vibration signal visualization and Data Transfer (DT) are used to add tower fault data samples to solve the problem of insufficient actual data quantity. Subsequently, the dynamic response test is carried out under different tower fault states, and the tower fault monitoring is carried out by the DL method. Finally, the proposed method is compared with the traditional online monitoring method, and it is found that this method can significantly improve the rate of convergence and recognition accuracy in the recognition process. The results show that the method can effectively identify the tower foot displacement state, which can greatly reduce the accidents that occurred due to the tower foot displacement.

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Modelling and identification of bolted truss structure with the use of design of experiment approach

Cited by 14 publications

References 27 publications

Vibration feature extraction and fault detection method for transmission towers

Vibration feature extraction and fault detection method for transmission towers

Modal analysis of a riveted lattice beam for improved retrofitting operations

A Monitoring Method for Transmission Tower Foots Displacement Based on Wind-Induced Vibration Response

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