A model-based approach for estimation of the crack depth on a massive metal structure

Cung, Thanh Long; Dao, Thinh Duc; Nguyen, Phuong Cong; Bui, Thanh Dang

doi:10.1177/0020294018778314

Cited by 8 publications

(2 citation statements)

References 27 publications

(32 reference statements)

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“…The cubic polynomial function was used for the regression due to the best fitting performance and the connection with the character of influence of a thickness reduction on the resulting structural stiffness. The estimation of the crack depth relationship with the local stiffness reduction based on polynomials is widely used in the literature (see e.g., [ 82 , 83 , 84 , 85 ]). The exemplary plot and the results of regression are presented in Figure 10 .…”

Section: Results Of Damage Quantificationmentioning

confidence: 99%

Damage Identification and Quantification in Beams Using Wigner-Ville Distribution

Katunin

2020

Sensors

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The paper presents the novel method of damage identification and quantification in beams using the Wigner-Ville distribution (WVD). The presented non-parametric method is characterized by high sensitivity to a local stiffness decrease due to the presence of damage, comparable with the sensitivity of the wavelet-based approaches, however the lack of selection of the parameters of the algorithm, like wavelet type and its order, and the possibility of reduction of the boundary effect make this method advantageous with respect to the mentioned wavelet-based approaches. Moreover, the direct relation between the energy density resulting from the application of WVD to modal rotations make it possible to quantify damage in terms of its width and depth. The results obtained for the numerical modal rotations of a beam presented in this paper, simulating the results of non-destructive testing achievable with the shearography non-destructive testing method, confirm high accuracy in localization of a damage as well as quantification of its dimensions. It was shown that the WVD-based method is suitable for detection of damage represented by the stiffness decrease of 1% and can be identified and quantified with a high precision. The presented results of quantification allowed extracting information on damage width and depth.

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Section: Results Of Damage Quantificationmentioning

confidence: 99%

Damage Identification and Quantification in Beams Using Wigner-Ville Distribution

Katunin

2020

Sensors

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“…A wide range of antenna and metamaterial arrays [ 3 , 4 , 5 , 6 ] has been developed; these arrays are involved in eddy current sensing techniques. Most publications in the field focus on non-destructive testing (NDT) applications, which include thickness measurements [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ], detection of cracks and defects [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ], as well as measurements of conductivity

[ 10 , 11 , 12 , 13 , 14 , 29 , 30 , 31 , 32 ] and permeability

[ 33 , 34 , 35 ] in highly conductive samples. These applications cover only a fraction of the conductivity spectrum, although detecting mid-range and low

can lead to exciting applications.…”

Section: Introductionmentioning

confidence: 99%

Design of a Remote, Multi-Range Conductivity Sensor

Dima,

Radkovskaya,

Stevens

et al. 2023

Sensors

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So far, research on remote conductivity detection has primarily focused on large conductivities. This paper examines the entire conductivity range, proposing a method that can be adapted to the desired application. The optimization procedure for the different regions is presented and discussed. Specific interest is given to the low-conductivity range, below 10 S/m, which covers human body tissues. This could lead to applications in body imaging, especially for induction tomography. Conductivities below 12.5 S/m are extracted experimentally with an error below 10%.

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