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Energy preserving turbulent simulations at a reduced computational cost
- Source :
- Journal of Computational Physics, Journal of Computational Physics, Elsevier, 2015, ⟨10.1016/j.jcp.2015.06.011⟩, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; Energy-conserving discretizations are widely regarded as a fundamental requirement for high-fidelity simulations of turbulent flows. The skew-symmetric splitting of the nonlinear term is a well-known approach to obtain semi-discrete conservation of energy in the inviscid limit. However, its computation is roughly twice as expensive as that of the divergence or advective forms alone. A novel time-advancement strategy that retains the conservation properties of skew-symmetric-based schemes at a reduced computational cost has been developed. This method is based on properly constructed Runge–Kutta schemes in which a different form (advective or divergence) for the convective term is adopted at each stage. A general framework is presented to derive schemes with prescribed accuracy on both solution and energy conservation. Simulations of homogeneous isotropic turbulence show that the new procedure is effective and can be considerably faster than skew-symmetric-based techniques.
- Subjects :
- Mathematical optimization
Physics and Astronomy (miscellaneous)
Física::Física de fluids [Àrees temàtiques de la UPC]
Computation
Skew-symmetric form
Energy conservation
01 natural sciences
010305 fluids & plasmas
[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
Inviscid flow
0103 physical sciences
Applied mathematics
Turbulent flows
0101 mathematics
Divergence (statistics)
Mathematics
Numerical Analysis
Conservation of energy
Homogeneous isotropic turbulence
Applied Mathematics
Computer Science Applications
Term (time)
010101 applied mathematics
Computational efficiency
Computational Mathematics
Nonlinear system
Runge–Kutta
Modeling and Simulation
Subjects
Details
- Language :
- English
- ISSN :
- 00219991 and 10902716
- Database :
- OpenAIRE
- Journal :
- Journal of Computational Physics, Journal of Computational Physics, Elsevier, 2015, ⟨10.1016/j.jcp.2015.06.011⟩, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Accession number :
- edsair.doi.dedup.....f10dc76e160fa7e2b456eada1a9d5631
- Full Text :
- https://doi.org/10.1016/j.jcp.2015.06.011⟩