A direct damage detection method using Multiple Damage Localization Index Based on Mode Shapes criterion

Homaei, Farshad; Shojaee, Saeed; Amiri, Gholamreza Ghodrati

doi:10.12989/sem.2014.49.2.183

Cited by 23 publications

(7 citation statements)

References 24 publications

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“…Noises are an inherent part in real time measurements. Generally, these noises are summed into the actual data as random noise in the form of a Gaussian distribution . In order to test the robustness of proposed method, the random noise is included in the simulation model which replicated the real test data.…”

Section: Numerical Simulationmentioning

confidence: 99%

Identification of Added Mass in the Composite Plate Structure Based on Wavelet Packet Transform

Rajendran

Srinivasan

2015

Strain

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A new concept has been introduced that the combination of rotational mode shape with two‐dimensional wavelet packet transform to detect the added mass (damage) in a glass fibre reinforced polymer composite plate structure. Wavelet packet transform is an advanced signal processing tool that can magnify the abnormality features in the signal. Rotational mode shapes are sensitive to damage in beam and plate structures. The proposed method employs an added mass, which slides to different locations to alter the local and global dynamic characteristics of the structure. Finite element analysis is carried out to obtain the first three rotational bending mode shapes, from the damaged plate structure, then used as input to two‐dimensional wavelet packet transform. The numerical results of normalised diagonal detail wavelet packet coefficients show a peak at single or multiple added mass (damage) locations of a plate structure for two different boundary conditions. This method seems to be sensitive to relatively small amount of damage to the plate structure. A simple parametric study is carried out for the damage extent quantification. In addition, investigation with noise‐contaminated signals shows its feasibility in the real applications.

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Section: Numerical Simulationmentioning

confidence: 99%

Identification of Added Mass in the Composite Plate Structure Based on Wavelet Packet Transform

Rajendran

Srinivasan

2015

Strain

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“…Vibration-based damage detection techniques have been developed and used in structural health monitoring (SHM) systems to assess the state of AS and make decisions about their health [4][5][6][7][8]. These techniques can be classified into parametric [9] and nonparametric techniques [10], both of which have been used with machine learning methods to achieve reliable levels of performance for damage detection [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Method Based on Convolutional Neural Networks and Data Fusion for Assembled Structure State Recognition

et al. 2023

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This article focuses on the Assembled Structure (AS) state recognition method based on vibration data. The difficulty of AS state recognition is mainly the extraction of effective classification features and pattern classification. This paper presents an integrated method based on Convolutional Neural Networks (CNNs) and data fusion for AS state recognition. The method takes the wavelet transform time-frequency images of the denoised vibration signal as input, uses CNNs to supervise and learn the data, extracts the deep data structure layer by layer, and improves the classification results through data fusion technology. The method is tested on an assembly concrete shear wall using shake-table testing, and the results show that it has a good overall identification accuracy (IA) of 94.7%, indicating that it is robust and capable of accurately recognizing very small changes in AS state recognition.

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“…Later, Moradipour et al [14] improved this method by reducing the numerical errors. Homaei et al [15] proposed a direct damage detection method based on mode shapes criterion. The advantages of their method were simplicity, applicability to the high number of elements, accuracy of damage location, sensitivity to low damage severity, estimation of the number of required mode shapes, and low sensitivity to noise-contaminated data.…”

Section: Introductionmentioning

confidence: 99%

Indirect structure damage identification with the information of the vertical and rotational mode shapes

Ramezani

Bahar

2021

Scientia Iranica

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In this paper, a robust method is proposed to detect the damage severity and location of structural elements, focusing on the data type and acquisition method and aiming to the promotion of model updating tools. The novelty of this method is rotational mode shape acquisition, which provides valuable information on the damage. In this method, the damaged elements are indirectly identified by detecting the healthy elements and eliminating them from search space. This method minimizes the modal strain energy difference between the damaged reference model and the numerical model via an optimization algorithm. An improved genetic algorithm is then used to perform the optimization task. In this study, four numerical and two experimental damage scenarios are applied on a simply supported beam to examine the performance of the proposed method. Data acquisition systems are implemented using vision-based and accelerometer-based methods. The results demonstrate that this method can accurately identify the location and severity of damage merely using the first mode shape, since the rotational mode shapes are more sensitive to damage than the vertical mode shapes.

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A direct damage detection method using Multiple Damage Localization Index Based on Mode Shapes criterion

Cited by 23 publications

References 24 publications

Identification of Added Mass in the Composite Plate Structure Based on Wavelet Packet Transform

Identification of Added Mass in the Composite Plate Structure Based on Wavelet Packet Transform

An Integrated Method Based on Convolutional Neural Networks and Data Fusion for Assembled Structure State Recognition

Indirect structure damage identification with the information of the vertical and rotational mode shapes

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