- Conference date: 21–23 October 2009
- Location: Kuala Lumpur (Malaysia)
2‐D driven cavity flow is the widely studied benchmark problem by many researchers of computational fluid dynamics field in terms of accuracy, numerical efficiency and others. Lattice Boltzmann Method (LBM) is one of the numerical methods for simulating this type of flow. For solving cavity flow with high Reynolds Number, the saving in time consumption is really appreciated. Therefore, as the initial study, averaging method for reducing CPU time has been proposed for solving lid driven cavity flow with low Reynolds Number. The results show that the averaging method can save time consumed for simulation. For instance, in the case of Reynolds Number 80, the proposed averaging method can save about 12% of the original CPU time (without averaging method).
- Lattice Boltzmann methods
- Reynolds stress modeling
- Stokes flows
- Flow simulations
Daniel Baumann, Mark G. Jackson, Peter Adshead, Alexandre Amblard, Amjad Ashoorioon, Nicola Bartolo, Rachel Bean, Maria Beltrán, Francesco de Bernardis, Simeon Bird, Xingang Chen, Daniel J. H. Chung, Loris Colombo, Asantha Cooray, Paolo Creminelli, Scott Dodelson, Joanna Dunkley, Cora Dvorkin, Richard Easther, Fabio Finelli, Raphael Flauger, Mark P. Hertzberg, Katherine Jones‐Smith, Shamit Kachru, Kenji Kadota, Justin Khoury, William H. Kinney, Eiichiro Komatsu, Lawrence M. Krauss, Julien Lesgourgues, Andrew Liddle, Michele Liguori, Eugene Lim, Andrei Linde, Sabino Matarrese, Harsh Mathur, Liam McAllister, Alessandro Melchiorri, Alberto Nicolis, Luca Pagano, Hiranya V. Peiris, Marco Peloso, Levon Pogosian, Elena Pierpaoli, Antonio Riotto, Uroš Seljak, Leonardo Senatore, Sarah Shandera, Eva Silverstein, Tristan Smith, Pascal Vaudrevange, Licia Verde, Ben Wandelt, David Wands, Scott Watson, Mark Wyman, Amit Yadav, Wessel Valkenburg and Matias Zaldarriaga
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