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	A grid-merging operation to accelerate the Markov chain model in predicting steady-state and transient transmission of airborne particles
	Mei, X.; Gong, G.; Su, H.; Peng, P.; Liu, J.; Xie, H.
刊名	Building and Environment
	2017
卷号	Vol.122页码:82-93
关键词	Airborne particle transmission Computational fluid dynamics (CFD) Grid-merging operation Indoor environment Markov chain model
ISSN号	0360-1323
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6042546
专题	湖南大学
作者单位	1.School of Civil Engineering, Hunan University , 2.Lushan South Road, Changsha, China
推荐引用方式 GB/T 7714	Mei, X.,Gong, G.,Su, H.,et al. A grid-merging operation to accelerate the Markov chain model in predicting steady-state and transient transmission of airborne particles[J]. Building and Environment,2017,Vol.122:82-93.
APA	Mei, X.,Gong, G.,Su, H.,Peng, P.,Liu, J.,&Xie, H..(2017).A grid-merging operation to accelerate the Markov chain model in predicting steady-state and transient transmission of airborne particles.Building and Environment,Vol.122,82-93.
MLA	Mei, X.,et al."A grid-merging operation to accelerate the Markov chain model in predicting steady-state and transient transmission of airborne particles".Building and Environment Vol.122(2017):82-93.

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