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PonD SIGNED

Particles-on-Demand for Multiscale Fluid Dynamics

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 PonD project word cloud

Explore the words cloud of the PonD project. It provides you a very rough idea of what is the project "PonD" about.

structure    subclass    mixing    solutions    multiscale    alternative    small    price    first    modifications    reentry    temperature    chemical    geostrophic    rarefied    speed    micro    paradigm    phenomena    lattice    framework    mach    kinetic    succeeded    constructed    incorporate    statistical    variety    disruptive    unprecedented    removes    mitigated    universality    imply    supersonic    atmospheric    hypersonic    discrete    fixed    momentum    domain    flows    simulations    particle    restrictions    of    flowing    pursuit    undeniable    formulation    spectrum    dynamics    multiphase    constraints    onto    mechanics    quality    computing    translated    computational    speeds    perspective    boltzmann    turbulence    fluid    velocities    reactions    physical    gas    strength    inherently    conceived    knudsen    rigorous    delivers    demonstrated    opens    position    sectors    flow    pond    particles    seamless    roots    theory    time    interaction    rigid    universal    incompressible    demand    structural    specialized    uniform    platform    space   

Project "PonD" data sheet

The following table provides information about the project.

Coordinator
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH 

Organization address
address: Raemistrasse 101
city: ZUERICH
postcode: 8092
website: https://www.ethz.ch/de.html

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 2˙448˙750 €
 EC max contribution 2˙448˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-ADG
 Funding Scheme ERC-ADG
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2024-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) coordinator 2˙448˙750.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

Computational fluid dynamics achieved undeniable success in many sectors of flowing matter. However, with the variety of different physical phenomena involved, also the computational methods have specialized and a uniform platform for high-quality simulations has long been in pursuit. With its roots in kinetic theory and statistical mechanics, the lattice Boltzmann method was conceived as an alternative paradigm for fluid dynamics but only partially succeeded in a subclass of incompressible flows. The reasons for that are structural: fixed particles’ velocities in traditional approaches imply rigid constraints on Mach number and temperature in the simulations, and which can only be mitigated at a price of ever increased number of particles’ speeds. A novel formulation of fluid dynamics as a kinetic theory with a small number of tailored, on-demand constructed particles removes any restrictions on flow speed and temperature as compared the lattice Boltzmann methods and their modifications. Particles-on-Demand method is a disruptive change of perspective on computational fluid dynamics through kinetic theory that opens up an unprecedented wide domain of applications, and for the first time delivers a seamless and universal computing of any type of flow, from high Knudsen number rarefied gas to supersonic flow and turbulence. Our approach is inherently physical and rigorous, with kinetic theory translated onto a fully discrete framework in position, momentum, time and space system. Particle-on-Demand shall deliver new solutions to hypersonic flows involving fluid-structure interaction and makes it easy to incorporate mixing and chemical reactions. The strength and universality of PonD method shall be demonstrated with simulations of a wide spectrum of multiscale problems such as atmospheric reentry, geostrophic turbulence, micro-flows and multiphase flow.

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The information about "POND" are provided by the European Opendata Portal: CORDIS opendata.

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