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contributor authorYarahmadi, Mehran
contributor authorRobert Mahan, J.
contributor authorPriestley, Kory J.
date accessioned2019-03-17T11:18:45Z
date available2019-03-17T11:18:45Z
date copyright1/14/2019 12:00:00 AM
date issued2019
identifier issn0022-1481
identifier otherht_141_03_032701.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256885
description abstractDespite the dominant role of the Monte Carlo ray-trace (MCRT) method in modern radiation heat transfer analysis, the contemporary literature remains surprisingly reticent on the uncertainty of results obtained using it. After first identifying the radiation distribution factor as a population proportion, standard statistical procedures are used to estimate its mean uncertainty, to a stated level of confidence, as a function of the number of surface elements making up the enclosure and the number of rays traced per surface element. This a priori statistical uncertainty is then shown to compare favorably with the observed variability in the distribution factors obtained in an actual MCRT-based analysis. Finally, a formal approach is demonstrated for estimating, to a prescribed level of confidence, the uncertainty in predicted heat transfer. This approach provides a basis for determining the minimum number of rays per surface element required to obtain the desired accuracy.
publisherThe American Society of Mechanical Engineers (ASME)
titleUncertainty Analysis and Experimental Design in the Monte Carlo Ray-Trace Environment
typeJournal Paper
journal volume141
journal issue3
journal titleJournal of Heat Transfer
identifier doi10.1115/1.4042365
journal fristpage32701
journal lastpage032701-9
treeJournal of Heat Transfer:;2019:;volume( 141 ):;issue: 003
contenttypeFulltext


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