YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Verification, Validation and Uncertainty Quantification
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Verification, Validation and Uncertainty Quantification
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Forensic Uncertainty Quantification for Experiments on the Explosively Driven Motion of Particles

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 003 ):;issue: 004::page 41004
    Author:
    Hughes, Kyle
    ,
    Balachandar, S.
    ,
    Kim, Nam H.
    ,
    Park, Chanyoung
    ,
    Haftka, Raphael
    ,
    Diggs, Angela
    ,
    Littrell, Donald M.
    ,
    Darr, Jason
    DOI: 10.1115/1.4043478
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Six 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).
    • Download: (3.130Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Forensic Uncertainty Quantification for Experiments on the Explosively Driven Motion of Particles

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4259274
    Collections
    • Journal of Verification, Validation and Uncertainty Quantification

    Show full item record

    contributor authorHughes, Kyle
    contributor authorBalachandar, S.
    contributor authorKim, Nam H.
    contributor authorPark, Chanyoung
    contributor authorHaftka, Raphael
    contributor authorDiggs, Angela
    contributor authorLittrell, Donald M.
    contributor authorDarr, Jason
    date accessioned2019-09-18T09:08:11Z
    date available2019-09-18T09:08:11Z
    date copyright5/13/2019 12:00:00 AM
    date issued2019
    identifier issn2377-2158
    identifier othervvuq_003_04_041004
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259274
    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).
    publisherAmerican Society of Mechanical Engineers (ASME)
    titleForensic Uncertainty Quantification for Experiments on the Explosively Driven Motion of Particles
    typeJournal Paper
    journal volume3
    journal issue4
    journal titleJournal of Verification, Validation and Uncertainty Quantification
    identifier doi10.1115/1.4043478
    journal fristpage41004
    journal lastpage041004-15
    treeJournal of Verification, Validation and Uncertainty Quantification:;2019:;volume( 003 ):;issue: 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian