2019
DOI: 10.1016/j.oceaneng.2019.106394
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Advanced numerical modelling of caisson foundations in sand to investigate the failure envelope in the H-M-V space

Abstract: This paper focuses on the identification of the failure envelope of a caisson foundation in sand using an advanced critical state-based sand model (SIMSAND) and the Combined Lagrangian Smoothed Particle Hydrodynamics Method (CLSPH). The parameters of the SIMSAND constitutive model are first calibrated using triaxial tests on Baskarp sand. In order to validate the combined CLSPH-SIMSAND approach, a cone penetration test, model tests and a field test on a reduced scale caisson foundation are simulated. After ful… Show more

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Cited by 32 publications
(13 citation statements)
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“…Further developments extended SPH to solid mechanics. Brief introductions to SPH method can be found in the literature (Jin Z et al, 2019a(Jin Z et al, , 2019b.…”
Section: Sph Methodsmentioning
confidence: 99%
“…Further developments extended SPH to solid mechanics. Brief introductions to SPH method can be found in the literature (Jin Z et al, 2019a(Jin Z et al, , 2019b.…”
Section: Sph Methodsmentioning
confidence: 99%
“…In such an elastic-perfectly plastic model, no hardening/softening law is assumed. The sand at shallow depth is under a low stress level, which normally shows dilation during shearing, with a high dilation angle possibly close to internal friction angle [39]. For simplicity, the associate flow rule implying the friction angle is equal to the dilation angle was assumed (Q p = F y ).…”
Section: Elastoplastic Behavior Of the Soilmentioning
confidence: 99%
“…The classical finite element (FE) methods are mostly based on a Lagrangian formulation and are not suitable for solving geotechnical problems with large deformation due to excessive distortion of the FE-mesh. Hence, many numerical approaches have been implemented to overcome these problems, such as smoothed particle hydrodynamics (SPH), arbitrary Lagrangian-Eulerian (ALE), and CEL (Arrazola and Özel, 2010;Jin YF et al, 2018a;Yin et al, 2018;Jin Z et al, 2019). In this study, the CEL method was implemented due to a stable calculating result and a higher computational efficiency in massive grid computation (Qi et al, 2018).…”
Section: Implementation Of Cel Modellingmentioning
confidence: 99%