2011
DOI: 10.1680/geolett.11.00018
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The use of adaptive finite-element limit analysis to reveal slip-line fields

Abstract: The numerical method known as finite-element limit analysis (FELA) is generally employed as a tool for obtaining lower and upper bounds on the exact collapse load of a perfectly plastic structure or continuum. Most applications of FELA in geotechnical engineering have focused on plane strain problems involving the classical Tresca and Mohr-Coulomb yield criteria, and considerable computational effort has been expended on the calculation of lower-and upper-bound solutions for particular problems. This paper dis… Show more

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Cited by 89 publications
(32 citation statements)
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“…This compares well (numerically within 0·2%) with the solution by Martin (2011), who derived what may be regarded as a highly accurate solution of 3·77649 using the method of characteristics. For a shallower slope, β = 20°, n = 1·2, Taylor predicts a stability Figure 12.…”
Section: Undrained Slope Stabilitysupporting
confidence: 80%
“…This compares well (numerically within 0·2%) with the solution by Martin (2011), who derived what may be regarded as a highly accurate solution of 3·77649 using the method of characteristics. For a shallower slope, β = 20°, n = 1·2, Taylor predicts a stability Figure 12.…”
Section: Undrained Slope Stabilitysupporting
confidence: 80%
“…Selected results are listed in Table 2. Assuming that the present extrapolated results represent the exact solution, it can be seen that highly accurate DLO results, very close to the SLF results of Martin (2011), can again be obtained when using high nodal resolutions. These results also improve on the best available FELA results currently reported in the literature for this problem.…”
Section: S Lcsupporting
confidence: 65%
“…It can also be seen from these results that the DLO procedure is capable of representing closely the SLF results of Martin (2011). (The reader is also referred to Martin (2011) with these mechanisms, in the form of deformed meshes.)…”
Section: S Lcmentioning
confidence: 58%
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