Efficient Stabilization of Advection Terms Involved in Separated Representations of Boltzmann and Fokker-Planck Equations. (30th April 2015)
- Record Type:
- Journal Article
- Title:
- Efficient Stabilization of Advection Terms Involved in Separated Representations of Boltzmann and Fokker-Planck Equations. (30th April 2015)
- Main Title:
- Efficient Stabilization of Advection Terms Involved in Separated Representations of Boltzmann and Fokker-Planck Equations
- Authors:
- Chinesta, F.
Abisset-Chavanne, E.
Ammar, A.
Cueto, E. - Abstract:
- <abstract abstract-type="normal"> <title>Abstract</title> <p>The fine description of complex fluids can be carried out by describing the evolution of each individual constituent (e.g. each particle, each macromolecule, etc.). This procedure, despite its conceptual simplicity, involves many numerical issues, the most challenging one being that related to the computing time required to update the system configuration by describing all the interactions between the different individuals. Coarse grained approaches allow alleviating the just referred issue: the system is described by a distribution function providing the fraction of entities that at certain time and position have a particular conformation. Thus, mesoscale models involve many different coordinates, standard space and time, and different conformational coordinates whose number and nature depend on the particular system considered. Balance equation describing the evolution of such distribution function consists of an advection-diffusion partial differential equation defined in a high dimensional space. Standard mesh-based discretization techniques fail at solving high-dimensional models because of the curse of dimensionality. Recently the authors proposed an alternative route based on the use of separated representations. However, until now these approaches were unable to address the case of advection dominated models due to stabilization issues. In this paper this issue is revisited and efficient procedures for<abstract abstract-type="normal"> <title>Abstract</title> <p>The fine description of complex fluids can be carried out by describing the evolution of each individual constituent (e.g. each particle, each macromolecule, etc.). This procedure, despite its conceptual simplicity, involves many numerical issues, the most challenging one being that related to the computing time required to update the system configuration by describing all the interactions between the different individuals. Coarse grained approaches allow alleviating the just referred issue: the system is described by a distribution function providing the fraction of entities that at certain time and position have a particular conformation. Thus, mesoscale models involve many different coordinates, standard space and time, and different conformational coordinates whose number and nature depend on the particular system considered. Balance equation describing the evolution of such distribution function consists of an advection-diffusion partial differential equation defined in a high dimensional space. Standard mesh-based discretization techniques fail at solving high-dimensional models because of the curse of dimensionality. Recently the authors proposed an alternative route based on the use of separated representations. However, until now these approaches were unable to address the case of advection dominated models due to stabilization issues. In this paper this issue is revisited and efficient procedures for stabilizing the advection operators involved in the Boltzmann and Fokker-Planck equation within the PGD framework are proposed.</p> </abstract> … (more)
- Is Part Of:
- Communications in computational physics. Volume 17:Number 4(2015:Apr.)
- Journal:
- Communications in computational physics
- Issue:
- Volume 17:Number 4(2015:Apr.)
- Issue Display:
- Volume 17, Issue 4 (2015)
- Year:
- 2015
- Volume:
- 17
- Issue:
- 4
- Issue Sort Value:
- 2015-0017-0004-0000
- Page Start:
- 975
- Page End:
- 1006
- Publication Date:
- 2015-04-30
- Subjects:
- Mathematical physics -- Data processing -- Periodicals
Physics -- Data processing -- Periodicals
530.150285 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=CPH ↗
http://www.global-sci.org/cicp ↗ - DOI:
- 10.4208/cicp.2014.m326 ↗
- Languages:
- English
- ISSNs:
- 1815-2406
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 3382.xml