1980
DOI: 10.1002/nme.1620150604
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An integrated load increment method for finite elasto–plastic stress analysis

Abstract: SUMMARYA new computational scheme, named the 'Integrated Load Increment' method (ILI), has been developed to handle elasto-plastic analysis of solids by the finite element variational technique. This scheme allows considerably larger loading steps to be applied to the structure without deviating from its nonlinear, load-deformation relationship. It has been shown that these relationships can be evaluated by integrating the nonlinear constitutive equations within each load increment under certain conditions. A … Show more

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Cited by 5 publications
(2 citation statements)
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“…The method was found to result in a 240% improvement in computational efficiency and a substantial reduction in the number of load steps. The applicability of the isoparametric elements and the order of computation times involved have also been studied for three-dimensional FEM elastic-plastic problems [26]. The conventional FEM has been found to be weak in predicting surface stresses, where phenomena of interest usually occur.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The method was found to result in a 240% improvement in computational efficiency and a substantial reduction in the number of load steps. The applicability of the isoparametric elements and the order of computation times involved have also been studied for three-dimensional FEM elastic-plastic problems [26]. The conventional FEM has been found to be weak in predicting surface stresses, where phenomena of interest usually occur.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Second, the traditional load increment method needs to set a fixed load increment in the process of calculating the nonlinear equilibrium equations to obtain the structural equilibrium path (Wang et al, 2017). If the fixed increment is set too small, it will increase the calculation amount and reduce the calculation efficiency (Cheng et al, 1980). If the increment is too large, then the convergence may fail.…”
Section: Introductionmentioning
confidence: 99%