Fracture of sandstone characterized by digital image correlation

Lin, Qing; Labuz, Joseph F.

doi:10.1016/j.ijrmms.2012.12.043

Cited by 216 publications

(63 citation statements)

References 20 publications

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“…The matching process can be done using different correlation algorithms. By joining those small areas, a full-field measurement of a surfaces incremental displacement can be obtained [14]. The resolution can be on a micro scale, depending on the camera and its distance to the surface.…”

Section: Deformation Measurementsmentioning

confidence: 99%

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Detection of crack propagation in concrete with embedded ultrasonic sensors

Wolf

Pirskawetz

Zang

2015

Engineering Fracture Mechanics

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Section: Deformation Measurementsmentioning

confidence: 99%

“…The accuracy of the crack detection is compared with other NDT methods monitoring the changes of the concrete. These methods include crack monitoring with acoustic emission (AE), observing changes in the stress condition with Digital Image Correlation (DIC) [13,14] and measuring surface crack opening with displacement transducers.…”

Section: Introductionmentioning

confidence: 99%

Detection of crack propagation in concrete with embedded ultrasonic sensors

Wolf

Pirskawetz

Zang

2015

Engineering Fracture Mechanics

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“…An assumption is proposed that the grey value of the images remains the same before and after the deformation [23]. First of all, select a region of interest (ROI) on the specimen surface; then, divide this region into numbers of subsets; search for the corresponding subsets after deformation based on the assumption and calculate their displacement; finally, a deformation or displacement distribution map is created thereafter [21,28]. Figure 3, rock specimens were subjected to quasi-static load by a servocontrolled hydraulic machine (MTS Landmark system by MTS Inc.), whose stiffness is enough to avoid elastic energy to accumulate in the machine, in the Advanced Research Center at Central South University.…”

Section: Digital Image Correlation Methodmentioning

confidence: 99%

Study on Fracture Initiation and Propagation in a Brazilian Disc with a Preexisting Crack by Digital Image Correlation Method

Luo

Qiu

et al. 2017

Advances in Materials Science and Engineering

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The effect of a preexisting crack with different inclination angles and lengths on mechanical properties, fracture initiation, and propagation in a Brazilian disc was investigated in this paper. In the experiment, digital image correlation (DIC) method was employed to record the deformation in the specimen. Different failure patterns, depending on inclination angles and lengths of the preexisting crack, were observed. The fracture initiation position deviates from the tips of the preexisting crack with the inclination angle increasing from 0 ∘ to 72 ∘ at an interval of 18 ∘ per increment. Secondary cracks are more likely to occur in the Brazilian disc with a more inclined and longer preexisting crack. A finite-discrete element combined method ELFEN was used in the numerical investigation to simulate the failure process. This investigation shows that there are good correlations between the experimental and numerical results. Digital image correlation is a good method to obtain the quantitive full-field strain distribution and to observe the strain evolution process in a jointed rock.

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“…The crack propagation are much dependant on the stress magnitude, micro-damage localization and mineralogical features such as type, percentage, and microstructure (Amann et al [1]; Ündül et al [2]; Lin and Labuz [3]), and eventually change the strength of rocks. The orientation, velocity, and length of crack propagation are much related to the crack types (Rigopoulos et al [4]).…”

Section: Introductionmentioning

confidence: 99%

“…The related displacements were exactly measured using digital image correlation (Lin and Labuz [3]). The video images were used to track the movement of crack by taking crack as tracking targets, and the features (including length, width and area) of the various constituents during the crack initiation and propagation process were also investigated (Xu et al [5]).…”

Section: Introductionmentioning

confidence: 99%

Variations in Crack Features of Granite Specimen During Laboratory Uniaxial Compression Test Using Image Processing

Wang¹,

Xu²,

Cao³

2018

dtetr

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The granite is a heterogeneous rock consisting of various microscopic compositions (i.e., quartz, feldspar, biotite, etc). Changes in the digital features of these compositions are important in understanding the deformation and failure mechanisms of the rock. The video images photographed during the uni-axial compression test were used to investigate the digital changes of the cracks in the rock. The original images were first transferred into the gray and binary ones using the digital image processing. The positions of cracks were extracted using the grayscale threshold segmentation and traditional visual identification. The changes in the digital features of the cracks were furthermore explored in various stages during the specimen failure. It shows that the failure process of the granite specimen may be divided into three stages, or, stable, speeded, and complete ones; at the stable stage, the first crack initiates and propagates gradually with the great changes in the crack features; at the speeded stage, two of new cracks generate and all of cracks propagate much quickly; at the complete failure stage, all of the cracks changes gradually again until the rock approached to failure. The results presented herein may be referable in investigating the failure mechanism of the rock material.

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Fracture of sandstone characterized by digital image correlation

Cited by 216 publications

References 20 publications

Detection of crack propagation in concrete with embedded ultrasonic sensors

Detection of crack propagation in concrete with embedded ultrasonic sensors

Study on Fracture Initiation and Propagation in a Brazilian Disc with a Preexisting Crack by Digital Image Correlation Method

Variations in Crack Features of Granite Specimen During Laboratory Uniaxial Compression Test Using Image Processing

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