Damage characterization during laboratory strength testing: A 3D-finite-discrete element approach

Hamdi, Pooya; Stead, Doug; Elmo, Davide

doi:10.1016/j.compgeo.2014.03.011

Cited by 49 publications

(33 citation statements)

References 27 publications

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“…The hybrid FDEM incorporates the advantages of both continuum and discontinuum methods and can realistically simulate the transition from continuum to discontinuum caused by rock fracture. Two main implementations of the hybrid FDEM include Y code and the commercial code ELFEN . Several attempts have been made to actively extend the Y code, such as Y‐GEO, IRAZU, Solidity, HOSS with MUNROU, and Y‐Flow .…”

Section: Introductionmentioning

confidence: 99%

“…ELFEN uses MPI in its parallelization scheme and has been employed successfully in 2D and 3D simulations of the rock fracture process. For example, 3D fracture process analysis of a conventional laboratory test using up to 3 million elements has been reported . Additionally, Xiang et al optimized the contact detection algorithm in their Solidity code and parallelized the code using OpenMP; they modeled a packing system with 288 rock‐like boulders and showed that a speedup of 9 times on 12 CPU threads can be achieved (although the details of the applied algorithm and its implementation were not provided).…”

Section: Introductionmentioning

confidence: 99%

“…Two main implementations of the hybrid FDEM include Y code [5][6][7][8] and the commercial code ELFEN. [9][10][11][12] Several attempts have been made to actively extend the Y code, such as Y-GEO, [13][14][15][16][17][18][19] IRAZU, [20][21][22] Solidity, [23][24][25][26][27][28][29] HOSS with MUNROU, 30,31 and Y-Flow. [32][33][34][35][36] In addition, the authors also developed the Y-HFDEM IDE (integrated development environment).…”

Section: Introductionmentioning

confidence: 99%

“…For example, 3D fracture process analysis of a conventional laboratory test using up to 3 million elements has been reported. 11 Additionally, Xiang et al 23 optimized the contact detection algorithm in their Solidity code and parallelized the code using OpenMP; they modeled a packing system with 288 rock-like boulders and showed that a speedup of 9 times on 12 CPU threads can be achieved (although the details of the applied algorithm and its implementation were not provided). Relevant to the MPI-based parallelization, Guo and Zhao 43,44 developed a hierarchical FEM/DEM coupling, which had been extended for modeling of granular rocks more recently.…”

Section: Introductionmentioning

confidence: 99%

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Development of a GPGPU‐parallelized hybrid finite‐discrete element method for modeling rock fracture

Fukuda

Mohammadnejad

Liu

et al. 2019

Num Anal Meth Geomechanics

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Summary The hybrid finite‐discrete element method (FDEM) is widely used for engineering applications, which, however, is computationally expensive and needs further development, especially when rock fracture process is modeled. This study aims to further develop a sequential hybrid FDEM code formerly proposed by the authors and parallelize it using compute unified device architecture (CUDA) C/C++ on the basis of a general‐purpose graphics processing unit (GPGPU) for rock engineering applications. Because the contact detection algorithm in the sequential code is not suitable for GPGPU parallelization, a different contact detection algorithm is implemented in the GPGPU‐parallelized hybrid FDEM. Moreover, a number of new features are implemented in the hybrid FDEM code, including the local damping technique for efficient geostatic stress analysis, contact damping, contact friction, and the absorbing boundary. Then, a number of simulations with both quasi‐static and dynamic loading conditions are conducted using the GPGPU‐parallelized hybrid FDEM, and the obtained results are compared both quantitatively and qualitatively with those from either theoretical analysis or the literature to calibrate the implementations. Finally, the speed‐up performance of the hybrid FDEM is discussed in terms of its performance on various GPGPU accelerators and a comparison with the sequential code, which reveals that the GPGPU‐parallelized hybrid FDEM can run more than 128 times faster than the sequential code if it is run on appropriate GPGPU accelerators, such as the Quadro GP100. It is concluded that the GPGPU‐parallelized hybrid FDEM developed in this study is a valuable and powerful numerical tool for rock engineering applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of a GPGPU‐parallelized hybrid finite‐discrete element method for modeling rock fracture

Fukuda

Mohammadnejad

Liu

et al. 2019

Num Anal Meth Geomechanics

View full text Add to dashboard Cite

show abstract

“…DEM has been proven to be more suitable tool than Finite Element Method (FEM) and Finite Volume Method (FVM) to simulate compaction [45,46]. Some researchers have also used the hybrid approaches-a combination of Finite-Discrete Element Methods-FDEM to analyze geomechanical problems [25,[47][48][49][50][51][52][53]. FDEM and Y-Geo software, despite their limitations (mesh sensitivity, lack of hydro-mechanical coupling and fluid propagation in the cracks, long computational times), has effectively simulated complex rock slope instability problems from triggering, initiation, evolution, run out and deposition processes [47,54].…”

Section: Introductionmentioning

confidence: 99%

Micromechanical Analysis of Compaction and Drilling of Granular Media- A Review

Okorie¹

2017

J Geol Geophys

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Granular matter is ubiquitous in our daily life yet far from completely understood. These granular materials have constituted a class of complex systems which exhibit global behaviors been reminiscent of solids, liquids, gases, or otherwise uniquely their own. The key to achieve good properties lies in the material structure from the molecules, via structures on nano and micro levels to the macroscopic material. This paper also reviewed selected approaches and models that have been developed for granular media prediction. However, development of new approaches at the micro and nano scales to sense the stress distribution characteristics of complex rock media, especially the grounds bearing petroleum resources of Nigeria has been of vital concern/importance to the area of petroleum drilling and exploration. By conducting such fundamental level research, development of highly efficient drilling processes with potentially much less energy inputs and minimizing the carbon blue prints is the best approach.

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Analysis of fractures of a hard rock specimen via unloading of central hole with different sectional shapes

Fan

Chen

et al. 2019

Energy Science & Engineering

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Hard rock failure and rockburst hazards under high in situ stresses have been the subject of deep rock mechanics and engineering. Previous investigations employed cubic rock specimens with a central hole for simulation of rock fracturing around deep tunnels at a laboratory scale, while the failure characteristics and crack evolution behavior around different shapes of holes induced by excavation unloading response have been barely considered. A commercially combined finite‐discrete element method (combined FEM/DEM) was used to investigate the failure characteristics and crack propagation process of typical hard rock specimens (marble) via the unloading of central hole with different shapes. Rock heterogeneity was also considered in the model in combination with the engineering reality. The combined FEM/DEM approach was first validated by simulating uniaxial compression and Brazilian tests. Then, the parametrical analysis was conducted in detail on the basis of five different sectional shapes of central holes, including a circle, ellipse, U‐shape, trapezoid, and cube, and two lateral pressure coefficients. Analysis of crack propagation paths, released strain energy, displacement, and average velocity distribution of the monitoring points around the central hole suggests that the failure degree and destruction intensity are strongly related to the sectional shape and lateral pressure coefficients. Hard and brittle rock failure induced by the excavation unloading effect can be classified as stable failure (slabbing failure) and unstable failure (strain rockburst). The cubic, trapezoidal, and U‐shaped holes within the specimen are the most likely to induce unstable failure, while stable failure is the dominant failure pattern around circular and elliptical holes. The lateral pressure coefficient λ was also found to affect failure position and intensity (only for the axisymmetric section) around the central hole. The influence of rock heterogeneity on failure intensity and range around the central hole within the specimen was also discussed. This study emphasizes the importance and necessity of the excavation unloading effect when evaluating surrounding rock failure around deep tunnels.

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Damage characterization during laboratory strength testing: A 3D-finite-discrete element approach

Cited by 49 publications

References 27 publications

Development of a GPGPU‐parallelized hybrid finite‐discrete element method for modeling rock fracture

Development of a GPGPU‐parallelized hybrid finite‐discrete element method for modeling rock fracture

Micromechanical Analysis of Compaction and Drilling of Granular Media- A Review

Analysis of fractures of a hard rock specimen via unloading of central hole with different sectional shapes

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