Show simple item record

dc.contributor.authorHannah, Thomas
dc.contributor.authorMartin, Valerie
dc.contributor.authorEllis, Stephen
dc.contributor.authorKraft, Reuben H.
dc.date.accessioned2024-12-24T18:46:27Z
dc.date.available2024-12-24T18:46:27Z
dc.date.copyright4/15/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn2377-2158
dc.identifier.othervvuq_009_01_011002.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302722
dc.description.abstractThe purpose of this work is to develop and verify a method for quantitatively analyzing data collected from Kolsky bar experiments and to confirm its validity by comparing it to a finite element (FE) model. This study also aims to demonstrate the need for higher sample rate capture in miniature Kolsky bars, 3.16 mm diameter used in this work, by comparing results from two different data acquisition setups on identically sized experimental setups. We identified that the sample capture rate needed to accurately depict experimental results on small-scale systems is at least 400 kHz, which is far greater than what is typically assumed for lager systems. Finally, a statistical method for evaluating results is presented and expanded upon, which removes the dependence on the knowledge and experience of the experimentalist to interpret the data. Using this analysis technique on the two different systems examined in this study, we find upwards of 3.5 times better loading condition reproducibility and up to a 20 MPa reduction in the standard deviation of the sample stress profile, confirming the need for higher quality frequency capture rates.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleInfluence of Sampling Rate on Reproducibility and Accuracy of Miniature Kolsky Bar Experiments
dc.typeJournal Paper
dc.journal.volume9
dc.journal.issue1
dc.journal.titleJournal of Verification, Validation and Uncertainty Quantification
dc.identifier.doi10.1115/1.4065207
dc.journal.fristpage11002-1
dc.journal.lastpage11002-7
dc.page7
dc.treeJournal of Verification, Validation and Uncertainty Quantification:;2024:;volume( 009 ):;issue: 001
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record