Chapter 7. Discrete Element Method and Its Applications in Earthquake and Rock Fracture Modeling

Wang, Yucang; Xue, Sheng; Xie, Jun

doi:10.1515/9783110259032.235

Cited by 4 publications

(5 citation statements)

References 52 publications

(83 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of the ESyS-Particle software consists of a few major stages (Wang et al 2012;Place et al 2002;Potyondy and Cundall 2004). The first one was in the early 1990s, when the early version of Atomic Lattice Solid Model appeared.…”

Section: General Descriptionmentioning

confidence: 99%

“…The next stage was extended to 3D, object-oriented approach LSMearth written in C++, with easily added or removed micro-physics. Further steps were as follows (Wang et al 2012): parallel code using MPI; incorporation of intrinsic friction between particles; thermal effect; particle rotation and full rigidity between particles; Python script interface; theoretical analysis on particle parameter calibration; hydro-effect and Darcy flow; fully solid-fluid coupling based on DEM and Lattice Boltzman Method.…”

Section: General Descriptionmentioning

confidence: 99%

“…ESyS-Particle is written in C++ and designed for execution on parallel supercomputers, clusters or multi-core PCs (Abe et al 2014). The simulation engine implements spatial domain decomposition through the Message Passing Interface (MPI) (Wang et al 2012). A Verlet list neighbour search algorithm (Verlet 1967) is implemented for detecting neighbouring particles and a variety of particle interaction models are implemented.…”

Section: General Descriptionmentioning

confidence: 99%

“…The algorithm for calculating particle motion, presented in this section, was developed by Wang et al (2012). To avoid the buildup errors during temporal evolution, it is a common practice to renormalize quaternions at frequent intervals (usually done every step).…”

Section: Bonded Particles -"Brittlebeamprms" Type Of Bondsmentioning

confidence: 99%

See 3 more Smart Citations

Untitled

2020

Publs. Inst. Geophys. P.A.S.

View full text Add to dashboard Cite

Section: General Descriptionmentioning

confidence: 99%

Section: General Descriptionmentioning

confidence: 99%

Section: General Descriptionmentioning

confidence: 99%

Section: Bonded Particles -"Brittlebeamprms" Type Of Bondsmentioning

confidence: 99%

See 2 more Smart Citations

Untitled

2020

Publs. Inst. Geophys. P.A.S.

View full text Add to dashboard Cite

“…When δ=0, x w =x f , the boundary wall locates at the point x f ; when δ=1, x w =x b , the boundary wall locates at the point x b . The reflected distribution function at node x f can be calculated using an interpolation scheme (Yu et al, 2003)  2 2 ( , Δ )…”

Section: Two-way Coupling Of Dem and Lbmmentioning

confidence: 99%

Numerical modeling of porous flow in fractured rock and its applications in geothermal energy extraction

Wang

Xue

et al. 2015

J. Earth Sci.

Self Cite

View full text Add to dashboard Cite

Understanding the characteristics of hydraulic fracture, porous flow and heat transfer in fractured rock is critical for geothermal power generation applications, and numerical simulation can provide a powerful approach for systematically and thoroughly investigating these problems. In this paper, we present a fully coupled solid-fluid code using discrete element method (DEM) and lattice Boltzmann method (LBM). The DEM with bonded particles is used to model the deformation and fracture in solid, while the LBM is used to model the fluid flow. The two methods are two-way coupled, i.e., the solid part provides a moving boundary condition and transfers momentum to fluid, while the fluid exerts a dragging force to the solid. Two widely used open source codes, the ESyS_Particle and the OpenLB, are integrated into one code and paralleled with Message Passing Interface (MPI) library. Some preliminary 2D simulations, including particles moving in a fluid and hydraulic fracturing induced by injection of fluid into a borehole, are carried out to validate the integrated code. The preliminary results indicate that the new code is capable of reproducing the basic features of hydraulic fracture and thus offers a promising tool for multiscale simulation of porous flow and heat transfer in fractured rock. KEY WORDS: discrete element method, lattice Boltzmann method, hydraulic fracturing, geothermal energy extraction, multiscale modelling. INTRODUCTIONGeothermal energy is clean, renewable, and steadily supplied by the Earth. The use of geothermal energy can help in both meeting the increasing energy needs over the world and protecting the environment of our planet. Among the various uses of geothermal energy, geothermal power generation is of particular importance. As the capacity factor of geothermal power plants can be up to 95% (much higher than wind power, solar power, and the direct usage of geothermal energy), geothermal power can serve as the base load of a county's power grid, and is also capable of cogeneration of electricity and heat (Pang et al., 2012). In China, the potential of geothermal power is enormous, but the operating geothermal power capacity has not increased during the past two decades.Geothermal energy extraction process typically involves the injection of high pressure fluid to exchange heat from rocks at depths. In order to effectively and economically extract geothermal energy from the Earth, natural and artificial fractures are commonly used as the working fluid passage. Generally hydraulic fracturing is used to break the rock and increase permeability for the fluid flow. Although hydraulic *Corresponding author: smwang@ucas.ac.cn fracturing is a mature technique in the oil industry, there remain some issues which are not fully understood. The challenges in this process include how to stimulate and sustain the flow of fluid through the geothermal field and how to generate an efficient hydraulic subsurface heat exchanger system. In-depth research is needed to offer satisfactory prediction for types of fr...

show abstract

Strength of industrial sandstones modelled with the Discrete Element Method

Klejment

Dziedziczak

Łukaszewski

2021

Studia Geotechnica Et Mechanica

View full text Add to dashboard Cite

Sandstone is one of the most popular building materials since the earliest times. It has various textures and colours as well as good technical parameters. Sandstones, having such wide applications, are subjected to various external factors during the period of use. So, it is of utmost importance to have a good knowledge of their strength parameters. We employed a numerical method called Discrete Element Method to examine in a non-invasive manner the mechanical strength of industrial sandstones, that are commonly used as broken stones in road construction, cladding material, paving stones, pavement tiles and so on. Various mechanical external factors were considered, such as breaking, compressional and abrasion forces or impact by external objects and vibrations. Fragmentation of the considered sandstones under compressional regime was a source of knowledge about energy storage inside the material and energy release, as well as appearance of fractures inside the matter and final sandstone fragmentation into crumbs.

show abstract

Chapter 7. Discrete Element Method and Its Applications in Earthquake and Rock Fracture Modeling

Cited by 4 publications

References 52 publications

Untitled

Untitled

Numerical modeling of porous flow in fractured rock and its applications in geothermal energy extraction

Strength of industrial sandstones modelled with the Discrete Element Method

Contact Info

Product

Resources

About