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contributor authorSinclair, G. B.
contributor authorBeisheim, J. R.
contributor authorRoache, P. J.
date accessioned2017-11-25T07:20:00Z
date available2017-11-25T07:20:00Z
date copyright2016/12/02
date issued2016
identifier issn2377-2158
identifier othervvuq_001_04_041003.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236157
description abstractThe accurate determination of stresses at two-dimensional (2D) stress risers is both an important and a challenging problem in engineering. Finite element analysis (FEA) has become the method of choice in making such determinations when new configurations with unknown stress concentrations are encountered in practice. For such FEA to be useful, discretization errors in peak stresses have to be sufficiently controlled. Convergence checks and companion error estimates offer a means of exerting such control. Here, we report some new convergence checks to this end. These checks are designed to promote conservative error estimation. They are applied to seven benchmark problems that have exact solutions for their peak stresses. Associated stress concentration factors span a range that is larger than that normally experienced in engineering. Error levels in the FEA of these peak stresses are classified in accordance with: 1–5%, satisfactory; 1/5–1%, good; and <1/5%, excellent. The present convergence checks result in 91 error assessments for the benchmark problems. For these 91, errors are assessed as being at the same level as true exact errors on 83 occasions and one level worse for the other 8. Thus, stress error estimation is largely accurate (91%) and otherwise modestly conservative (9%).
publisherThe American Society of Mechanical Engineers (ASME)
titleEffective Convergence Checks for Verifying Finite Element Stresses at Two-Dimensional Stress Concentrations
typeJournal Paper
journal volume1
journal issue4
journal titleJournal of Verification, Validation and Uncertainty Quantification
identifier doi10.1115/1.4034977
journal fristpage41003
journal lastpage041003-8
treeJournal of Verification, Validation and Uncertainty Quantification:;2016:;volume( 001 ):;issue: 004
contenttypeFulltext


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