2014
DOI: 10.1061/(asce)em.1943-7889.0000669
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Axisymmetric Lower-Bound Limit Analysis Using Finite Elements and Second-Order Cone Programming

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Cited by 53 publications
(22 citation statements)
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“…Note that MOSEK is based on a highly robust and efficient primal‐dual interior‐point algorithm for large‐scale problems of continuous linear, quadratic, conic, and semidefinite programming. Previously, this optimizer has been successfully employed in FELA to solve various stability problems in geotechnical engineering . Readers are referred to the details of the numerical formulation of MOSEK and its usage in the manual of MOSEK and Andersen et al Standard default settings in the MOSEK optimizer are used in all LB calculations that are performed on a personal computer, Windows 10 operating‐based system, Intel Core I7‐4770 CPU@3.40 GHz and 32 GB memory.…”
Section: Resultsmentioning
confidence: 99%
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“…Note that MOSEK is based on a highly robust and efficient primal‐dual interior‐point algorithm for large‐scale problems of continuous linear, quadratic, conic, and semidefinite programming. Previously, this optimizer has been successfully employed in FELA to solve various stability problems in geotechnical engineering . Readers are referred to the details of the numerical formulation of MOSEK and its usage in the manual of MOSEK and Andersen et al Standard default settings in the MOSEK optimizer are used in all LB calculations that are performed on a personal computer, Windows 10 operating‐based system, Intel Core I7‐4770 CPU@3.40 GHz and 32 GB memory.…”
Section: Resultsmentioning
confidence: 99%
“…Note that, since the equilibrium equations are satisfied at the centroid and not everywhere within the triangular element, the strict LB solution cannot be obtained from the present study. However, the previous studies by Khatri and Kumar and Tang et al indicated that there was no significant error on the LB solution associated with imposing the equilibrium equations at the centroid of the triangular element.…”
Section: D Axisymmetric Lb Felamentioning
confidence: 96%
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“…Recent trends in limit analysis (see for instance [33][34][35][36][37][38][39][40][41]) demonstrated that the utilization of LP in solving the typical linear optimization problem associated to the upper and lower bound problems of limit analysis is less effective than the application of robust non-linear programming routines (NLP), with the considerable advantage that the linearization of the material strength domain is avoided. This allowed a further improvement in the numerical efficiency of FE limit analysis programs.…”
Section: Introductionmentioning
confidence: 99%