2022
DOI: 10.1002/nme.6985
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A class of strain‐displacement elements in upper bound limit analysis

Abstract: The main restriction in applying the upper bound theorem in limit analysis by means of the finite element method is that once the displacement field has been discretized, the flow rule and the boundary conditions should be satisfied everywhere throughout the discretized structure. This is to secure mathematically that the result will be a rigorous upper bound of the exact limit load multiplier. So far, only the linear and the quadratic displacement elements with straight sides, which result in constant and lin… Show more

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Cited by 4 publications
(2 citation statements)
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“…Recently, a wide number of mixed FE has been proposed. [13][14][15] An interesting approach for developing mixed FEs is the enhanced assumed strain (EAS) technique, which is effective in improving efficiency and accuracy in linear and nonlinear problems. 7 In particular, FEs based on EAS and solid shell models show many advantages, in both geometrically and material nonlinear problems, especially when complex 3D constitutive laws are used.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, a wide number of mixed FE has been proposed. [13][14][15] An interesting approach for developing mixed FEs is the enhanced assumed strain (EAS) technique, which is effective in improving efficiency and accuracy in linear and nonlinear problems. 7 In particular, FEs based on EAS and solid shell models show many advantages, in both geometrically and material nonlinear problems, especially when complex 3D constitutive laws are used.…”
Section: Introductionmentioning
confidence: 99%
“…This, generally speaking, means low error in recovering the solution for coarse mesh grids, elevated rate of convergence and equivalent convergence properties for all the unknown fields. Recently, a wide number of mixed FE has been proposed 13‐15 . An interesting approach for developing mixed FEs is the enhanced assumed strain (EAS) technique, which is effective in improving efficiency and accuracy in linear and nonlinear problems 7 .…”
Section: Introductionmentioning
confidence: 99%