2017
DOI: 10.1061/(asce)gm.1943-5622.0000852
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Critical Assessment of Nonlocal Strain-Softening Methods in Biaxial Compression

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Cited by 31 publications
(23 citation statements)
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“…To avoid the mesh dependency seen in FE analyses involving strain localisation (e.g. Summersgill et al, 2017aSummersgill et al, , 2017b, a non-local strainsoftening model was employed. The analyses results show that the interaction of a vertical stabilisation pile and slope is complex, particularly in strain-softening materials where the developed failure mechanism evolves significantly with time.…”
Section: Discussionmentioning
confidence: 99%
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“…To avoid the mesh dependency seen in FE analyses involving strain localisation (e.g. Summersgill et al, 2017aSummersgill et al, , 2017b, a non-local strainsoftening model was employed. The analyses results show that the interaction of a vertical stabilisation pile and slope is complex, particularly in strain-softening materials where the developed failure mechanism evolves significantly with time.…”
Section: Discussionmentioning
confidence: 99%
“…The adopted permeability values are from subsequent work of Hight et al (2007). It is well established that the conventional FE solution of strain-softening problems, in which strain localisation occurs within a zone of limited thickness, can lead to numerical instability and significant mesh dependency of the solution (Galavi & Schweiger, 2010;Summersgill et al, 2017aSummersgill et al, , 2017b. The non-local method (Eringen, 1981;Bazant & Jirasek, 2002) alleviates these issues, adopting a distribution function that spreads the strain of the material at a point over a pre-defined surrounding volume.…”
Section: Description Of the Numerical Model Analysis Arrangement And mentioning
confidence: 99%
“…Afterwards stress-like hardening variables (p s , p t and p m ) are directly computed by evaluating Equations 11and 12. The weighting function proposed by Galavi and Schweiger (2010) is employed here as it has been found to outperform other weighting functions in removing the mesh bias (Summersgill et al, 2017a;Mánica et al, 2018). This weighing function may be expressed:…”
Section: Nonlocal Reformulationmentioning
confidence: 99%
“…Oñate, 2016). Indeed, since the failure pattern is generally not known a priori, nonlocal approaches that rely on a fixed mesh are penalized by the need to lay out a very fine discretization (Mánica et al, 2018;Summersgill et al, 2017a). In this work, the refinement criterion used in the h-adaptive routines is the product of the accumulated plastic shear strain, α, and the area of the element.…”
Section: G-pfemmentioning
confidence: 99%
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