Show simple item record

dc.contributor.authorHughes, Kyle
dc.contributor.authorBalachandar, S.
dc.contributor.authorKim, Nam H.
dc.contributor.authorPark, Chanyoung
dc.contributor.authorHaftka, Raphael
dc.contributor.authorDiggs, Angela
dc.contributor.authorLittrell, Donald M.
dc.contributor.authorDarr, Jason
dc.date.accessioned2019-09-18T09:08:11Z
dc.date.available2019-09-18T09:08:11Z
dc.date.copyright5/13/2019 12:00:00 AM
dc.date.issued2019
dc.identifier.issn2377-2158
dc.identifier.othervvuq_003_04_041004
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259274
dc.description.abstractSix explosive experiments were performed in October 2014 and February of 2015 at the Munitions Directorate of the Air Force Research Laboratory with the goal of providing validation-quality data for particle drag models in the extreme regime of detonation. Three repeated single particle experiments and three particle array experiments were conducted. The time-varying position of the particles was captured within the explosive products by X-ray imaging. The contact front and shock locations were captured by high-speed photography to provide information on the early time gas behavior. Since these experiments were performed in the past and could not be repeated, we faced an interesting challenge of quantifying and reducing uncertainty through a detailed investigation of the experimental setup and operating conditions. This paper presents the results from these unique experiments, which can serve as benchmark for future modeling, and also our effort to reduce uncertainty, which we dub forensic uncertainty quantification (FUQ).
dc.publisherAmerican Society of Mechanical Engineers (ASME)
dc.titleForensic Uncertainty Quantification for Experiments on the Explosively Driven Motion of Particles
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue4
dc.journal.titleJournal of Verification, Validation and Uncertainty Quantification
dc.identifier.doi10.1115/1.4043478
dc.journal.fristpage41004
dc.journal.lastpage041004-15
dc.treeJournal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 003 ):;issue: 004
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record