A new statistical model for subgrid dispersion in large eddy simulations of particle-laden flows
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10.1088/1742-6596/745/3/032115
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/97201
Tipus de documentText en actes de congrés
Data publicació2016
EditorInstitute of Physics (IOP)
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement 3.0 Espanya
Abstract
Dispersed multiphase turbulent flows are present in many industrial and commercial applications like
internal combustion engines, turbofans, dispersion of contaminants, steam turbines, etc. Therefore, there is a clear
interest in the development of models and numerical tools capable of performing detailed and reliable simulations
about these kind of flows. Large Eddy Simulations offer good accuracy and reliable results together with reasonable
computational requirements, making it a really interesting method to develop numerical tools for particle-laden turbulent
flows. Nonetheless, in multiphase dispersed flows additional difficulties arises in LES, since the effect of the unresolved
scales of the continuous phase over the dispersed phase is lost due to the filtering procedure. In order to solve this
issue a model able to reconstruct the subgrid velocity seen by the particles is required. In this work a new model for
the reconstruction of the subgrid scale effects over the dispersed phase is presented and assessed. This innovative
methodology is based in the reconstruction of statistics via Probability Density Functions (PDFs).
Descripció
This article is published under a CC BY licence. The Version of Record is available online at: http.//dx.doi.org/10.1088/1742-6596/745/3/032115
CitacióMuela, J., Lehmkuhl, O., Perez, C., Oliva, A. A new statistical model for subgrid dispersion in large eddy simulations of particle-laden flows. A: European Thermal-Sciences Conference. "Journal of Physics: conference series, vol. 745, 2016". Krakow: Institute of Physics (IOP), 2016.
ISBN1742-6596
Versió de l'editorhttp://iopscience.iop.org/article/10.1088/1742-6596/745/3/032115
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