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contributor authorCumber, Peter Stewart
date accessioned2023-04-06T12:50:15Z
date available2023-04-06T12:50:15Z
date copyright9/21/2022 12:00:00 AM
date issued2022
identifier issn221481
identifier otherht_144_12_122801.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288601
description abstractThis paper demonstrates that the wellknown method for calculating view factors, the Monte Carlo method, combined with ray tracing is not necessarily the most efficient strategy. The Monte Carlo method and quasiMonte Carlo method combined with numerical integration, provided the surfaces in a configuration are not too close together, are more accurate for the same runtime than a ray tracingbased Monte Carlo method. The Monte Carlo method based on numerical integration is complementary to the Monte Carlo method based on ray tracing. When many rays are required to calculate an accurate view factor, few function evaluations in a numerical integration approach are necessary to achieve the same accuracy. Where the surfaces in a configuration are touching, the Monte Carlo method with numerical integration converges to the exact view factor very slowly due to a singularity in the view factor multiintegral. For these configurations, a hybrid Monte Carlo method and quasiMonte Carlo method are demonstrated to be the stochastic methods of choice.
publisherThe American Society of Mechanical Engineers (ASME)
titleEvaluating View Factors Using a Hybrid MonteCarlo Method
typeJournal Paper
journal volume144
journal issue12
journal titleJournal of Heat Transfer
identifier doi10.1115/1.4055516
journal fristpage122801
journal lastpage12280111
page11
treeJournal of Heat Transfer:;2022:;volume( 144 ):;issue: 012
contenttypeFulltext


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