1995
DOI: 10.1016/0020-7683(94)00200-g
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Yield-line analysis by sequential linear programming

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Cited by 27 publications
(30 citation statements)
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“…The proposed procedure clearly has similarities with the procedure put forward by Johnson (1994Johnson ( , 1995, which also involved the use of a geometry optimization step.…”
Section: Accepted Manuscriptmentioning
confidence: 86%
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“…The proposed procedure clearly has similarities with the procedure put forward by Johnson (1994Johnson ( , 1995, which also involved the use of a geometry optimization step.…”
Section: Accepted Manuscriptmentioning
confidence: 86%
“…Attempting to address this issue, various workers proposed the use of 'geometry optimization' to subsequently adjust the positions of selected nodes in a post-processing phase. For example, Johnson (1994Johnson ( , 1995 proposed that this be achieved via the use of sequential linear programming. Other workers to propose a similar approach included Thavalingam et al (1999), who employed a conjugate gradient optimizer, and Johnson (1997, 1998), who used a direct search solver.…”
Section: Introductionmentioning
confidence: 99%
“…In the first step, a yield pattern is predicted using a linear finite element analysis, then a less refined mesh is constructed with element boundaries lying close to the expected yield lines, to obtain the yield mechanism. Johnson (1996) extends the method developed for isotropic slabs (Johnson 1995) to non-isotropic cases. Gohnert and Kemp (1995) propose a four-node element, which they termed a "yield line element".…”
Section: Yield Line Analysismentioning
confidence: 99%
“…(15).The value of is (1.0) for elastic isotropic material of the same thickness. However, the presence of a yield line will change this value depending on its inclination relative to the element edge.…”
Section: Adding Yield Lines To Element "S3"mentioning
confidence: 99%
“…Yield lines are usually located at points of derivative discontinuity. This results in difficulties in solution optimization [15,20]. Even more difficulties are expected when attempting to solve large problems with hundreds of optimization variables rather than few tens.…”
Section: Introductionmentioning
confidence: 99%