About: Modeling transient particle transport by fast fluid dynamics with the Markov chain method

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About: Modeling transient particle transport by fast fluid dynamics with the Markov chain method Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Modeling transient particle transport by fast fluid dynamics with the Markov chain method
Creator	Liu, Wei Chen, Chun You, Ruoyu
Source	PMC
abstract	Fast simulation tools for the prediction of transient particle transport are critical in designing the air distribution indoors to reduce the exposure to indoor particles and associated health risks. This investigation proposed a combined fast fluid dynamics (FFD) and Markov chain model for fast predicting transient particle transport indoors. The solver for FFD-Markov-chain model was programmed in OpenFOAM, an open-source CFD toolbox. This study used two cases from the literature to validate the developed model and found well agreement between the transient particle concentrations predicted by the FFD-Markov-chain model and the experimental data. This investigation further compared the FFD-Markov-chain model with the CFD-Eulerian model and CFD-Lagrangian model in terms of accuracy and efficiency. The accuracy of the FFD-Markov-chain model was similar to that of the other two models. For the two studied cases, the FFD-Markovchain model was 4.7 and 6.8 times faster, respectively, than the CFD-Eulerian model, and it was 137.4 and 53.3 times faster than the CFD-Lagrangian model in predicting the steady-state airflow and transient particle transport. Therefore, the FFD-Markov-chain model is able to greatly reduce the computing cost for predicting transient particle transport in indoor environments.
has issue date	2019-03-06(xsd:dateTime)
bibo:doi	10.1007/s12273-019-0513-9
has license	no-cc
sha1sum (hex)	d40b30876d8b015add47f6a8b5bf7596348597d5
schema:url	https://doi.org/10.1007/s12273-019-0513-9
resource representing a document's title	Modeling transient particle transport by fast fluid dynamics with the Markov chain method
has PubMed Central identifier	PMC7090511
schema:publication	Build Simul
resource representing a document's body	covid:d40b30876d8b015add47f6a8b5bf7596348597d5#body_text
is schema:about of	named entity 'tools' named entity 'times' named entity 'particle' named entity 'particle' named entity 'Fast' named entity 'transient' named entity 'Markov chain' named entity 'FAST' covid:arg/d40b30876d8b015add47f6a8b5bf7596348597d5 named entity 'MARKOV CHAIN' named entity 'FOUND' named entity 'AIR' named entity 'INVESTIGATION' named entity 'FLUID DYNAMICS' named entity 'AIRFLOW' named entity 'COST' named entity 'LITERATURE' named entity 'FASTER' named entity 'USED' named entity 'ENVIRONMENTS' named entity 'FAST' named entity 'OPEN' named entity 'GREATLY' named entity 'ACCURACY' named entity 'SIMULATION' named entity 'DISTRIBUTION' named entity 'SOURCE' named entity 'TERMS' named entity 'LAGRANGIAN' named entity 'FFD' named entity 'MODELS' named entity 'COMPARED' named entity 'TO REDUCE' named entity 'MODEL' named entity 'TRANSPORT' named entity 'CONCENTRATIONS' named entity 'MODELING' named entity 'TRANSIENT' named entity 'PARTICLE' named entity 'ASSOCIATED' named entity 'COMPUTING' named entity 'INDOOR' named entity 'CFD' named entity 'TRANSPORT' named entity '3 TIMES' named entity 'FLUID DYNAMICS' named entity 'METHOD' named entity 'STUDY' named entity 'MARKOV CHAIN' named entity 'CASES' named entity 'COMBINED' named entity 'TRANSIENT' named entity 'SIMILAR' named entity 'TOOLS' named entity 'RISKS' named entity 'TIMES' named entity 'PROPOSED' named entity 'EFFICIENCY' named entity 'PREDICTING' named entity 'EXPOSURE TO' named entity 'HEALTH' named entity 'CRITICAL' named entity 'CHAIN' named entity 'STEADY-STATE' named entity 'PREDICTION' named entity 'REDUCE' named entity 'EXPERIMENTAL DATA' named entity 'AGREEMENT' named entity '137' named entity 'PARTICLE' named entity 'PREDICTED' named entity 'critical' named entity 'fast' named entity 'prediction' named entity 'simulation' named entity 'For' named entity 'CFD' named entity 'transport' named entity 'efficiency' named entity 'particle' named entity 'open-source'

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