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dc.contributor.authorTownsend, Molly T.
dc.contributor.authorMills, Matthew
dc.contributor.authorSarigul-Klijn, Nesrin
dc.date.accessioned2024-04-24T22:36:00Z
dc.date.available2024-04-24T22:36:00Z
dc.date.copyright10/3/2023 12:00:00 AM
dc.date.issued2023
dc.identifier.issn2572-7958
dc.identifier.otherjesmdt_007_02_021002.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295515
dc.description.abstractAn approach is presented for calculation verification of geometry-based and voxel-based finite element modeling techniques used for biological hard tissue. The purpose of this study is to offer a controlled comparison of geometry- and voxel-based finite element modeling in terms of the convergence (i.e., discretization based on mesh size and/or element order), accuracy, and computational speed in modeling biological hard tissues. All of the geometry-based numerical test models have hp-converged at an acceptable mesh seed length of 0.6 mm, while not all voxel-based models exhibited convergence and no voxel models p-converged. Converged geometry-based meshes were found to offer accurate solutions of the deformed model shape and equivalent vertebral stiffness, while voxel-based models were 6.35% ± 0.84% less stiff (p < 0.0001) and deformed 6.79% ± 0.96% more (p < 0.0001). Based on the controlled verification study results, the voxel-based models must be confirmed with local values and validation of quantities of interest to ensure accurate finite element model predictions.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleVerification Process for Finite Element Modeling Techniques Used in Biological Hard Tissue
dc.typeJournal Paper
dc.journal.volume7
dc.journal.issue2
dc.journal.titleJournal of Engineering and Science in Medical Diagnostics and Therapy
dc.identifier.doi10.1115/1.4063302
dc.journal.fristpage21002-1
dc.journal.lastpage21002-11
dc.page11
dc.treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2023:;volume( 007 ):;issue: 002
dc.contenttypeFulltext


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