000			03682nam a22005535i 4500
001			978-1-4939-0455-6
003			DE-He213
005			20180115171537.0
007			cr nn 008mamaa
008			140617s2014 xxu| s |||| 0|eng d
020			_a9781493904556 _9978-1-4939-0455-6
024	7		_a10.1007/978-1-4939-0455-6 _2doi
050		4	_aQA370-380
072		7	_aPBKJ _2bicssc
072		7	_aMAT007000 _2bisacsh
082	0	4	_a515.353 _223
100	1		_aChacón Rebollo, Tomás. _eauthor.
245	1	0	_aMathematical and Numerical Foundations of Turbulence Models and Applications _h[electronic resource] / _cby Tomás Chacón Rebollo, Roger Lewandowski.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Birkhäuser, _c2014.
300			_aXVII, 517 p. 18 illus., 9 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aModeling and Simulation in Science, Engineering and Technology, _x2164-3679
505	0		_aIntroduction -- Incompressible Navier-Stokes Equations -- Mathematical Basis of Turbulence Modeling -- The k – ε Model -- Laws of the Turbulence by Similarity Principles -- Steady Navier-Stokes Equations with Wall Laws and Fixed Eddy Viscosities -- Analysis of the Continuous Steady NS-TKE Model -- Evolutionary NS-TKE Model -- Finite Element Approximation of Steady Smagorinsky Model -- Finite Element Approximation of Evolution Smagorinsky Model -- A Projection-based Variational Multi-Scale Model -- Numerical Approximation of NS-TKE Model -- Numerical Experiments -- Appendix A: Tool Box.
520			_aWith applications to climate, technology, and industry, the modeling and numerical simulation of turbulent flows are rich with history and modern relevance. The complexity of the problems that arise in the study of turbulence requires tools from various scientific disciplines, including mathematics, physics, engineering, and computer science. Authored by two experts in the area with a long history of collaboration, this monograph provides a current, detailed look at several turbulence models from both the theoretical and numerical perspectives. The k-epsilon, large-eddy simulation, and other models are rigorously derived and their performance is analyzed using benchmark simulations for real-world turbulent flows. Mathematical and Numerical Foundations of Turbulence Models and Applications is an ideal reference for students in applied mathematics and engineering, as well as researchers in mathematical and numerical fluid dynamics. It is also a valuable resource for advanced graduate students in fluid dynamics, engineers, physical oceanographers, meteorologists, and climatologists.
650		0	_aMathematics.
650		0	_aPartial differential equations.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650		0	_aNumerical analysis.
650		0	_aFluids.
650		0	_aFluid mechanics.
650	1	4	_aMathematics.
650	2	4	_aPartial Differential Equations.
650	2	4	_aEngineering Fluid Dynamics.
650	2	4	_aNumerical Analysis.
650	2	4	_aFluid- and Aerodynamics.
650	2	4	_aApplications of Mathematics.
700	1		_aLewandowski, Roger. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781493904549
830		0	_aModeling and Simulation in Science, Engineering and Technology, _x2164-3679
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4939-0455-6
912			_aZDB-2-SMA
999			_c370866 _d370866