2008
DOI: 10.1002/nme.2275
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Mesh adaptive computation of upper and lower bounds in limit analysis

Abstract: SUMMARYAn efficient procedure to compute strict upper and lower bounds for the exact collapse multiplier in limit analysis is presented, with a formulation that explicitly considers the exact convex yield condition. The approach consists of two main steps. First, the continuous problem, under the form of the static principle of limit analysis, is discretized twice (one per bound) using particularly chosen finite element spaces for the stresses and velocities that guarantee the attainment of an upper or a lower… Show more

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Cited by 209 publications
(160 citation statements)
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“…However, when FEM is applied some of the well-known characteristics of mesh-based methods can lead to problems: the solutions are often highly sensitive to the geometry of the original mesh, particularly in the region of stress or displacement/velocity singularities; furthermore, volumetric locking may occur in plane strain and 3D problems [11]. Although adaptive schemes with the h-version [12][13][14][15][16] or p-version FEM [17,18] have been used to try to overcome such disadvantages, and show immense promise, the schemes quickly become complex and a large number of elements are generally required to obtain accurate solutions. On the other hand, the objective function in the associated optimization problem is convex, but not everywhere differentiable.…”
Section: Introductionmentioning
confidence: 99%
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“…However, when FEM is applied some of the well-known characteristics of mesh-based methods can lead to problems: the solutions are often highly sensitive to the geometry of the original mesh, particularly in the region of stress or displacement/velocity singularities; furthermore, volumetric locking may occur in plane strain and 3D problems [11]. Although adaptive schemes with the h-version [12][13][14][15][16] or p-version FEM [17,18] have been used to try to overcome such disadvantages, and show immense promise, the schemes quickly become complex and a large number of elements are generally required to obtain accurate solutions. On the other hand, the objective function in the associated optimization problem is convex, but not everywhere differentiable.…”
Section: Introductionmentioning
confidence: 99%
“…One of the most efficient algorithms to overcome this difficulty is the primal-dual interior-point method presented in [19,20] and implemented in commercial codes such as the Mosek software package. The limit analysis problem involving conic constraints can then be solved by this efficient algorithm [16,21,22].…”
Section: Introductionmentioning
confidence: 99%
“…This problem was introduced to illustrate locking phenomena by Nagtegaal et al [54] and became a popular benchmark test for plastic analysis procedures, particularly for rigid-plastic limit analysis [2,3,5,55,56]. The test problem consists of a rectangular specimen with two external thin symmetric cuts under in-plane tensile stresses τ 0 , as shown in Figure 9.…”
Section: Double Notched Tensile Specimenmentioning
confidence: 99%
“…Various numerical procedures based on the finite element method have been developed to solve real-world problems in engineering practice [1][2][3][4][5]. Owing to their simplicity, low-order finite elements are often used in these procedures.…”
Section: Introductionmentioning
confidence: 99%
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