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Volume 13, Issue 3
Energy Conserving Lattice Boltzmann Models for Incompressible Flow Simulations

Shiwani Singh, Siddharth Krithivasan, Iliya V. Karlin, Sauro Succi & Santosh Ansumali

Commun. Comput. Phys., 13 (2013), pp. 603-613.

Published online: 2013-03

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In this paper, we highlight the benefits resulting from imposing energy-conserving equilibria in entropic lattice Boltzmann models for isothermal flows. The advantages are documented through a series of numerical simulations, such as Taylor-Green vortices, cavity flow and flow past a sphere.

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@Article{CiCP-13-603, author = {}, title = {Energy Conserving Lattice Boltzmann Models for Incompressible Flow Simulations}, journal = {Communications in Computational Physics}, year = {2013}, volume = {13}, number = {3}, pages = {603--613}, abstract = {

In this paper, we highlight the benefits resulting from imposing energy-conserving equilibria in entropic lattice Boltzmann models for isothermal flows. The advantages are documented through a series of numerical simulations, such as Taylor-Green vortices, cavity flow and flow past a sphere.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.311011.170412s}, url = {http://global-sci.org/intro/article_detail/cicp/7238.html} }
TY - JOUR T1 - Energy Conserving Lattice Boltzmann Models for Incompressible Flow Simulations JO - Communications in Computational Physics VL - 3 SP - 603 EP - 613 PY - 2013 DA - 2013/03 SN - 13 DO - http://doi.org/10.4208/cicp.311011.170412s UR - https://global-sci.org/intro/article_detail/cicp/7238.html KW - AB -

In this paper, we highlight the benefits resulting from imposing energy-conserving equilibria in entropic lattice Boltzmann models for isothermal flows. The advantages are documented through a series of numerical simulations, such as Taylor-Green vortices, cavity flow and flow past a sphere.

Shiwani Singh, Siddharth Krithivasan, Iliya V. Karlin, Sauro Succi & Santosh Ansumali. (2020). Energy Conserving Lattice Boltzmann Models for Incompressible Flow Simulations. Communications in Computational Physics. 13 (3). 603-613. doi:10.4208/cicp.311011.170412s
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