Virginia Tech
    • Log in
    View Item 
    •   VTechWorks Home
    • ETDs: Virginia Tech Electronic Theses and Dissertations
    • Doctoral Dissertations
    • View Item
    •   VTechWorks Home
    • ETDs: Virginia Tech Electronic Theses and Dissertations
    • Doctoral Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Uncertainty and Confidence Intervals of the Monte Carlo Ray-Trace Method in Radiation Heat Transfer

    Thumbnail
    View/Open
    title.pdf (28.09Kb)
    Downloads: 83
    ch1.pdf (58.46Kb)
    Downloads: 51
    ch2.pdf (61.24Kb)
    Downloads: 115
    ch3.pdf (156.5Kb)
    Downloads: 54
    ch4.pdf (279.0Kb)
    Downloads: 77
    ch5.pdf (51.81Kb)
    Downloads: 80
    ch6.pdf (22.94Kb)
    Downloads: 37
    references.pdf (29.78Kb)
    Downloads: 63
    vita.pdf (3.236Kb)
    Downloads: 26
    Date
    2002-11-15
    Author
    Sanchez, Maria Cristina
    Metadata
    Show full item record
    Abstract
    The primary objective of the work reported here is to develop a methodology to predict the uncertainty associated with radiation heat transfer problems solved using the Monte Carlo ray-trace method (MCRT). Four equations are developed to predict the uncertainty of the distribution factor from one surface to another, the global uncertainty of all the distribution factors in an enclosure, the uncertainty of the net heat flux from a surface, and the global uncertainty of the net heat flux from all the surfaces in an enclosure, respectively. Numerical experiments are performed to successfully validate these equations and to study the impact of various parameters such as the number of surfaces in an enclosure, the number of energy bundles traced in the MCRT model, the fractional uncertainty of emissivity and temperature, and the temperature distribution in the enclosure. Finally, the methodology is successfully applied to a detailed MCRT model of a CERES-like radiometer.
    URI
    http://hdl.handle.net/10919/29956
    Collections
    • Doctoral Dissertations [14863]

    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

    Virginia Tech | University Libraries | Contact Us
     

     

    VTechWorks

    AboutPoliciesHelp

    Browse

    All of VTechWorksCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Log inRegister

    Statistics

    View Usage Statistics

    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

    Virginia Tech | University Libraries | Contact Us