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contributor authorKardak, A. A.
contributor authorSinclair, G. B.
date accessioned2025-04-21T10:30:03Z
date available2025-04-21T10:30:03Z
date copyright1/17/2025 12:00:00 AM
date issued2025
identifier issn2377-2158
identifier othervvuq_009_04_041002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306323
description abstractWhen stress concentration factors are not available in handbooks, finite element analysis has become the predominant method for determining their values. For such determinations, there is a need to know if they have sufficient accuracy. Tuned test problems can provide a way of assessing the accuracy of stress concentration factors found with finite elements. Previously, we offered a means of constructing such test problems for stress concentrations within boundaries that have local constant radii of curvature, and are subjected to tensile loading. Here we extend the means of construction for the same local geometry, but now with the stress concentrations being induced by shear loading. These new test problems are tuned to their originating shear applications by sharing the same global geometries and having slightly higher peak stresses. Consequently, they are a little more challenging to analyze with finite elements than their originating shear applications. These test problems also have exact solutions. Thus a precise determination can be made of the errors incurred in their finite element analysis. Given the increased challenge of these test problems, their errors are likely to serve as upper bounds on the errors incurred when their originating configurations are analyzed with the same set of finite element meshes.
publisherThe American Society of Mechanical Engineers (ASME)
titleOn the Generation of Tuned Test Problems for Stress Concentrations Induced by Shear Tractions
typeJournal Paper
journal volume9
journal issue4
journal titleJournal of Verification, Validation and Uncertainty Quantification
identifier doi10.1115/1.4067468
journal fristpage41002-1
journal lastpage41002-6
page6
treeJournal of Verification, Validation and Uncertainty Quantification:;2025:;volume( 009 ):;issue: 004
contenttypeFulltext


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