ELBM

Frontiers for multi-scale computational fluid dynamics

 Coordinatore EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH 

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 Nazionalità Coordinatore Switzerland [CH]
 Totale costo 1˙656˙800 €
 EC contributo 1˙656˙800 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2011-ADG_20110209
 Funding Scheme ERC-AG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-01-01   -   2016-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Ilya
Cognome: Karlin
Email: send email
Telefono: +41 44 632 66 28

CH (ZUERICH) hostInstitution 1˙656˙800.00

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geometries    boltzmann    models    fluid    simulations    computational    handling    efficiency    lbm    micro    dynamics    domains    lattice    flows    entropic    elbm   

 Obiettivo del progetto (Objective)

'Computational fluid dynamics remains challenged with the complexity of fluid motion on all scales from atmospheric phenomena down to flows in micro- and nano-devices. The lattice Boltzmann method (LBM) has been conceived to replace the conventional methods of computational fluid dynamics. Due to its computational efficiency and simplicity in handling complex geometries, LBM was only partly successful in simulating incompressible flows. However, it faced stiff challenges in other domains of fluid dynamics due to low isotropy of the lattice and lack of stability. Recently, a new generation of entropic lattice Boltzmann models (ELBM) restored second law of thermodynamics in the lattice Boltzmann kinetics and made lattice Boltzmann unconditionally stable. Armed with new higher-order entropic lattices, ELBM project will open up high Reynolds number flows, compressible flows, multi-phase and micro flows and other domains for fast and efficient simulations. New ELBM models retain all the advantages of LBM in terms of efficiency, parallelism, and handling of complex geometries. This project will serve as unique source of largest possible benchmark simulations and engineering applications in fluid dynamics; thus challenging or even replacing the most advanced methods of computational fluid dynamics as well as particle methods in micro flows.'

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