2013
DOI: 10.1002/nag.2233
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Frictional contact algorithms in SPH for the simulation of soil–structure interaction

Abstract: SUMMARY Simulation of frictional contact between soils and rigid or deformable structure in the framework of smoothed particle hydrodynamics (SPH) is presented in this study. Two algorithms are implemented into the SPH code to describe contact behavior, where the contact forces are calculated using the law of conservation of momentum based on ideal plastic collision or using the criteria of partial penetrating. In both algorithms, the problem of boundary deficiency inherited from SPH is properly handled so tha… Show more

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Cited by 80 publications
(52 citation statements)
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“…A higher value for the penalty coefficient is better as long as the analysis is stable because it means reduced penetration and increased accuracy for the analysis [51]. We used the following formula for the penalty coefficient:…”
Section: Wall Boundary Conditionmentioning
confidence: 99%
“…A higher value for the penalty coefficient is better as long as the analysis is stable because it means reduced penetration and increased accuracy for the analysis [51]. We used the following formula for the penalty coefficient:…”
Section: Wall Boundary Conditionmentioning
confidence: 99%
“…Consequently, as a truly meshless method, SPH is a good alternative to MPM for modelling large deformation problems. SPH was originally proposed for astrophysical applications 13,14 ; it has been then advanced to numbers of applications in geomechanics such as large deformation and failure of geomaterials [17][18][19][20][21][22][23][24] , slope failures and landslides, [25][26][27] ) soil-structure interaction [28][29][30][31] , coupled soil-water problems 18,32,33 , and most recently the scale-dependent rock fracture. 34,35 In SPH, velocity and displacement boundary conditions can be enforced through non-slip and free-slip solid boundary conditions by using ghost 36 and virtual 19,37,38 particles.…”
Section: Introductionmentioning
confidence: 99%
“…It may suffer from mesh distortion, resulting in an inaccurate solution and failure of computational convergence [1,2]. Although the DEM does not have that limitation, the high computational cost restricts DEM application to small-scale or shortduration simulations [13].…”
Section: Introductionmentioning
confidence: 99%