Digital energy grade‐based approach for crack path prediction based on 2D X‐ray CT images of geomaterials

Zhao, Zhi; Zhou, Xiaoping

doi:10.1111/ffe.12979

Cited by 13 publications

(2 citation statements)

References 36 publications

(37 reference statements)

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“…Recently, rapid improvement of imaging techniques (e.g., non-destructive testing) makes it possible to study the microstructural characteristics and to get deeper insights of the rock properties, especially for the deformation modulus. Among the non-destructive testing techniques, X-ray CT imaging techniques, owing to the abilities of monitoring the real-time characteristics, providing the microstructural information and reconstructing the three-dimensional realizations of materials, are widely applied to investigate the cracking characteristics and behaviors, 19 to study the hydraulic and transport properties, 20 and to evaluate the petrophysical properties 21 of porous materials. For instances, Fan et al 22 proposed the heterogeneity coefficient and anisotropy coefficient variables to investigate the thermal effects on these two variables based on X-ray CT images.…”

Section: Introductionmentioning

confidence: 99%

Thermophysical–mechanical properties evaluations of porous geomaterials by CT images and digital–virtual modeling

Zhao,

Berto,

Zou

et al. 2024

Fatigue Fract Eng Mat Struct

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In this work, the color difference phase separation (CDPS) approach is proposed to segment the solid and pore phases. Pore‐scale variables are defined to describe the microstructural characteristics. Novel relations to quickly determine the deformation moduli and thermal conductivity are established. Digital–virtual modeling to investigate the mechanical and thermal properties is addressed. The correlation between pore‐scale variables and the mechanical and thermal properties is investigated. Results show that the calculated shear and Young's moduli decrease and the computed Poisson's ratio increases as porosity increases. The deformation moduli and thermal conductivity increase with increasing pore radius for different types of rocks. Excellent consistencies are found between the digital–virtual and realistic experimental results. The proposed method provides useful tools to fast and accurately determine the deformation moduli and thermal conductivity, which is helpful for the underground space and deep energy resource explorations.

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Section: Introductionmentioning

confidence: 99%

Thermophysical–mechanical properties evaluations of porous geomaterials by CT images and digital–virtual modeling

Zhao,

Berto,

Zou

et al. 2024

Fatigue Fract Eng Mat Struct

Self Cite

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“…What is more, as one of the most important indexes to evaluate surrounding rock grade, rock mass fragmentation degree is always considerably difficult to be described or defined precisely and quantitatively. Improvements in digital photogrammetry and image processing technology have prompted gradual maturation in noncontact methods designed for acquiring rock mass structural information [31,32]. Many scholars have obtained favorable results by combining these technologies with key block theory, the stereographic projection method, 3D geological model reconstruction, and fine numerical simulation [33][34][35][36][37][38][39][40][41][42][43][44][45], especially the fast shape-from-focus method proposed by Martišek [46] and the hierarchical-fractal annealing algorithm proposed by Zhou and Xiao [47][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Gaussian Process Model of Surrounding Rock Classification Based on Digital Characterization of Rock Mass Structure and Its Application

Sun

Wang

et al. 2020

Mathematical Problems in Engineering

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As the important data basis of surrounding rock classification, rock mass structural information obtained by traditional image processing and feature extraction algorithms could not be quantitatively analyzed because of the uncertainty and geometric randomness of structural planes. In this paper, based on straight line detection, intelligent scissors, and morphological edge detection algorithms, the multiple interpretation system of rock mass image including linear bunching extraction, magnetic tracking extraction, and multiparameter characterization was researched and developed, and the actual distribution information and the related probability distribution model of structural planes could be obtained directly. On the basis of this, plenty of corresponding random rating-values meeting the probability distribution models of these evaluation indices were gained by Monte Carlo Simulation. The distribution probability affiliated with different rock mass grade was attained by inductive statistics, and the robust evaluation of surrounding rock classification could be carried out. Taking the robust results as learning samples, the response model of surrounding rock grade based on Gaussian process classification was established, making the evaluation of surrounding rock subclassification more rapid and robust.

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Digital spatial cracking behaviors of fine‐grained sandstone with precracks under uniaxial compression

Zhou

Zhao

Liu

2020

Num Anal Meth Geomechanics

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SummaryX‐ray computed tomography (CT) imaging and digital image correlation techniques are applied to study spatial cracking behaviors of sandstone under uniaxial compression, in which the angle between precracks is 45°, 90°, and 135° and the crack depth is 7.5 mm and 10 mm, respectively. Layered anisotropy damages and spatial cracking evolution are quantitatively analyzed by the defined digital layered anisotropy index and digital damage ratio, respectively. Three cases with different array of precracks evidence the depth effects of precracks on spatial crack propagation. Results show that the failure process of samples is first controlled by the coalescence of surface cracks in 2D space and then the samples are failed by the propagation of coalesced cracks (shear cracks with different shapes). The crack types for samples with precrack depth of 7.5 mm are all shear cracks for Cases 1‑3. Nevertheless, the crack types for samples with precrack depth of 10 mm are, respectively, the half X‐shape crack for Case 1, X‐shape crack for Case 2, and double shell crack for Case 3. The precrack has a significant promotion effect on the failure process when the angle between the two precracks is β = 90°, and the precrack has little to no effect on the failure process when the angle between the two precracks is β = 135°. As the depth of precrack increases to 10 mm, the crack types are changed in this study. The peak strength of sample subjected to uniaxial compression decreases with increasing depth of precracks, implying the decrease of the rock strength by the discontinuity.

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Digital energy grade‐based approach for crack path prediction based on 2D X‐ray CT images of geomaterials

Cited by 13 publications

References 36 publications

Thermophysical–mechanical properties evaluations of porous geomaterials by CT images and digital–virtual modeling

Thermophysical–mechanical properties evaluations of porous geomaterials by CT images and digital–virtual modeling

Gaussian Process Model of Surrounding Rock Classification Based on Digital Characterization of Rock Mass Structure and Its Application

Digital spatial cracking behaviors of fine‐grained sandstone with precracks under uniaxial compression

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