2022
DOI: 10.1007/s11440-022-01626-1
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Generalized plastic ordinary state-based peridynamic model with shear deformation of geomaterials

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Cited by 17 publications
(5 citation statements)
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“…Traditionally, undrained analyses have been performed numerically with the finite element method (FEM) 1,2 but for problems involving larger deformations and necessitating modeling post-failure behavior, the accuracy of the solution decreases due to mesh distortion and associated issues. Various different continuum particle-based or meshfree methods have been proposed in recent decades as alternatives to FEM, most notably the material point method (MPM), [3][4][5] peridynamics, [6][7][8] particle FEM (PFEM), [9][10][11] element free Galerkin method (EFG), [12][13][14] reproducing kernel particle method (RKPM), [15][16][17] and smoothed particle hydrodynamics (SPH). [18][19][20] As one of the best established of these methods, developed first by the work of Lucy 21 and Gingold and Monaghan, 22 SPH is one of the few truly meshfree methods, in that it requires no background mesh or knowledge of connectivity between the material points.…”
Section: Introductionmentioning
confidence: 99%
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“…Traditionally, undrained analyses have been performed numerically with the finite element method (FEM) 1,2 but for problems involving larger deformations and necessitating modeling post-failure behavior, the accuracy of the solution decreases due to mesh distortion and associated issues. Various different continuum particle-based or meshfree methods have been proposed in recent decades as alternatives to FEM, most notably the material point method (MPM), [3][4][5] peridynamics, [6][7][8] particle FEM (PFEM), [9][10][11] element free Galerkin method (EFG), [12][13][14] reproducing kernel particle method (RKPM), [15][16][17] and smoothed particle hydrodynamics (SPH). [18][19][20] As one of the best established of these methods, developed first by the work of Lucy 21 and Gingold and Monaghan, 22 SPH is one of the few truly meshfree methods, in that it requires no background mesh or knowledge of connectivity between the material points.…”
Section: Introductionmentioning
confidence: 99%
“…on both CPU and GPU architectures. A three-dimensional benchmark case of a drained triaxial test with 1.5 million particles has been simulated using an increasing number of AMD EPYC 7543 Milan CPU cores(2,4,8,16,32,64, and 128), each featuring 4 GB of RAM. Results are shown in Figure 8 in terms of wall clock time, which corresponds to the time required by the CPU cores pore pressure, p w : Pore-water pressure (𝑝 𝑤 ) histories for the three undrained simulations TU-M (𝑝 ′ 0 = −30 and (𝑝 𝑐 ) 0 = −200 kPa), TU-L (𝑝 ′ 0 = −150 and (𝑝 𝑐 ) 0 = −200 kPa), and TU-N (𝑝 ′ 0 = −200 and (𝑝 𝑐 ) 0 = −200 kPa), compared to theoretical solutions.…”
mentioning
confidence: 99%
“…However, the evolutionary distribution characteristics of stress and deformation fields within flawed rocks are not obtained by experimental means, which leads to the fact that the fracture failure mechanism of flawed rocks cannot be revealed during the deformation failure process. Fortunately, some scholars [19][20][21][22][23][24] adopted the numerical methods to not only predict the fracture paths of flawed rocks but also to obtain the distribution characteristics of stress and deformation fields within flawed rocks, which can provide a new approach to reveal the fracture failure mechanism of flawed rocks.…”
Section: Introductionmentioning
confidence: 99%
“…On the foundation of the SB–PD model, a number of studies have been conducted on elastic materials. Due to these studies, the problems of deformation, damage, and fracture of elastoplastic materials have been partially solved 18–20 . However, the governing equations of SB–PD model are complex and its computational stability is difficult to guarantee due to strong numerical oscillations 21,22 .…”
Section: Introductionmentioning
confidence: 99%
“…Due to these studies, the problems of deformation, damage, and fracture of elastoplastic materials have been partially solved. [18][19][20] However, the governing equations of SB-PD model are complex and its computational stability is difficult to guarantee due to strong numerical oscillations. 21,22 In a BB-PD model, the bond force is only related to the relative displacement between the two material particles connected by the bond.…”
Section: Introductionmentioning
confidence: 99%