2005
DOI: 10.1002/nme.1352
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Lower bound limit analysis with adaptive remeshing

Abstract: SUMMARYThe objective of this work is to present an adaptive remeshing procedure for lower bound limit analysis with application to soil mechanics. Unlike conventional finite element meshes, a lower bound grid incorporates statically admissible stress discontinuities between adjacent elements. These discontinuities permit large stress jumps over an infinitesimal distance and reduce the number of elements needed to predict the collapse load accurately. In general, the role of the discontinuities is crucial as th… Show more

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Cited by 104 publications
(77 citation statements)
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“…The reader is referred to [13,14] for a justification of those spaces. When resorting to them, the saddle point problem is consequently modified, as illustrated in Figures 1b-c.…”
Section: Discrete Upper and Lower Bound Formulationsmentioning
confidence: 99%
“…The reader is referred to [13,14] for a justification of those spaces. When resorting to them, the saddle point problem is consequently modified, as illustrated in Figures 1b-c.…”
Section: Discrete Upper and Lower Bound Formulationsmentioning
confidence: 99%
“…This adaptive procedure has been proposed for the nite-element limit analysis [10][11][12][13][14][15] as well as the mesh-free limit analysis [16] approaches. The main policy in these methods is de ning a posteriori error estimator and establishing an adaptive re nement strategy based on the reduction of this error.…”
Section: Introductionmentioning
confidence: 99%
“…Different discretisations of the optimisation problem in (1) yield different static and kinematic formulations that give respectively lower [LS02,LSKH05] or upper bounds [KLS07] of the exact optimal load factor λ opt , and the two type of solutions may be in turn combined for designing remeshing strategies [MBHP09]. The method has been well studied and applied for instance in the analysis of anchors [MS10,MLH13], masonry structures [GSP10] or inhomogeneous materials [Bd14].…”
Section: Introductionmentioning
confidence: 99%