3D full-field deformation monitoring of fiber composite pressure vessel using 3D digital speckle correlation method

Meng, L.B.; Guo, Jin‐Liang; Yao, Xuefeng; Yeh, Hsien-Yang

doi:10.1016/j.polymertesting.2005.09.011

Cited by 51 publications

(24 citation statements)

References 8 publications

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“…Their results showed the bias in displacement measurements depends on both the amount of subpixel (c) Fig. 7 Summary of the dependence of S B (a), S C (b), and S A j j; S D ; S 0 (c) on the subset size n. Their definitions are given in equation (8). Results of a total of 19 image pairs (see Fig.…”

Section: Effects Of Subset Deformation Mismatchmentioning

confidence: 99%

“…Estimation of motion and deformation by digital image correlation (DIC) has found increasing applications in mechanical testing of materials and structures [1][2][3][4][5][6][7][8]. While many DIC algorithms developed over the years have provided deformation measurements of acceptable accuracy and precision using high-quality digital image data, factors such as inherent image noise [9], subpixel interpolation approximation [10], and the mismatch between the actual deformation field of an image subset and the presumed deformation function for the subset [11][12][13] all tend to degrade the deformation parameter estimation.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Error Evaluation in One-Dimensional Deformation Measurements by Linear Digital Image Correlation

2010

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Simple analytical error formulas were derived for one-dimensional deformation parameter estimation by an image correlation analysis with linear subpixel interpolation. A two-parameter deformation function was used in the analysis to account for both rigid-body translation and constant displacement gradient in an image subset. Errors in parameter estimation were found to explicitly relate to the image grayscale error consisting of subpixel approximation, image noise (including quantization error), and subset deformation mismatch at each point of the subset. A power-law dependence of the standard deviation of errors in deformation parameter estimation on the subset size was established when random image noise was dominant and it was confirmed by the numerical results of both nonlinear and linear image correlation analyses of synthetic image pairs. The power-law relationship can be used to guide the selection of suitable image quality, subpixel approximation, subset size, and subset deformation function for the desired measurement precision of deformation parameters.

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Section: Effects Of Subset Deformation Mismatchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Error Evaluation in One-Dimensional Deformation Measurements by Linear Digital Image Correlation

2010

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“…Because the longitudinal displacement at the location of the cohesive crack is the Relative dynamic modulus % Fig. 5 Maximum loadingdirection displacement and E di for the eight series tested maximum displacement on the target area, the maximum tensile strain is in the area where the cohesive crack exists [15,24]. Note that the positive strain increases with the external load.…”

Section: Dimensional Strain Fieldmentioning

confidence: 99%

“…DSCM can get the full-field displacement by comparing the location of each pixel in speckle images before and after deformation, and then the strain fields on the concrete surface can be obtained from the longitudinal displacement (i.e., the displacement parallel to the direction of principal tensile stress) and the loading-direction displacement. The primary principles of the DSCM system were discussed in detail in Refs [23][24][25]. Since the cohesive crack is very tiny comparing with the specimen size, the cohesive-crack path cannot be directly detected by a non-destructive method.…”

Section: Dscm Systemmentioning

confidence: 99%

Real-time Detection and Analysis of Damage in High-performance Concrete under Cyclic Bending

et al. 2009

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In order to quantitatively evaluate the damage level in high-performance concrete (HPC) with pozzolanic minerals under constant amplitude cyclic loads, three methods for real-time damage detection are employed in the present work, i.e., dynamic modulus instrument, realtime strain collector, and digital speckle correlative method (DSCM). Six mechanical parameters at different numbers of loading cycles are real-time captured by these three methods. For a maximum applied fatigue stress equal to 70% of the static flexural strength, a cohesive crack is detected on the specimen surface by the DSCM system from 10% of concrete fatigue life. The nucleation and propagation of the cohesive crack is reflected by the change of the strain concentration zone in 2-dimensional strain fields. The experimental results show that the admixtures of Class F Fly Ash (FA) and S95 Ground Granulated Blast-furnace Slag (GGBS) in high proportions increase the strain and cohesivecrack opening displacement as well as remarkably improve the fatigue performance of HPC.

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“…So the development of simple and applicable 3D measuring method is one of the main trends in the field of experimental mechanics. 3D digital image correlation [7][8][9][10] was put forward and widely used [11][12][13] . The basic principle of the method is binocular stereoscopic vision.…”

mentioning

confidence: 99%

3D displacement measurement by white light digital image analysis in frequency domination area

Yang

Chen

2008

Trans. Tianjin Univ.

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3D full-field deformation monitoring of fiber composite pressure vessel using 3D digital speckle correlation method

Cited by 51 publications

References 8 publications

An Improved Error Evaluation in One-Dimensional Deformation Measurements by Linear Digital Image Correlation

An Improved Error Evaluation in One-Dimensional Deformation Measurements by Linear Digital Image Correlation

Real-time Detection and Analysis of Damage in High-performance Concrete under Cyclic Bending

3D displacement measurement by white light digital image analysis in frequency domination area

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