Surface‐sampled simulations of turbulent flow at high Reynolds number

A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sandham, Neil D [verfasserIn] Johnstone, Roderick Jacobs, Christian T

Format:	Artikel
Sprache:	Englisch

Erschienen:	2017

Rechteinformationen:	Nutzungsrecht: Copyright © 2017 The Authors International Journal for Numerical Methods in Fluids Published by John Wiley & Sons Ltd.

Schlagwörter:	incompressible flow turbulence models large eddy simulations Navier‐Stokes finite difference LES turbulent flow Vortices Direct numerical simulation Turbulent flow Eddy simulation Computational fluid dynamics Mathematical models Large eddy simulation Variations Statistical analysis Velocity Simulation Low level Law of the wall Numerical analysis Computer simulation High Reynolds number Equilibrium Reynolds number Fluid flow Turbulence Physics Finance Computer Science Science Computational Engineering Computational Physics Fluid Dynamics

Übergeordnetes Werk:	Enthalten in: International journal for numerical methods in fluids - Chichester : Wiley, 1981, 85(2017), 9, Seite 525-537
Übergeordnetes Werk:	volume:85 ; year:2017 ; number:9 ; pages:525-537

Links:	Volltext Link aufrufen Link aufrufen Link aufrufen

DOI / URN:	10.1002/fld.4395

Katalog-ID:	OLC1997650991

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520			\|a A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data.
540			\|a Nutzungsrecht: Copyright © 2017 The Authors International Journal for Numerical Methods in Fluids Published by John Wiley & Sons Ltd.
650		4	\|a incompressible flow
650		4	\|a turbulence models
650		4	\|a large eddy simulations
650		4	\|a Navier‐Stokes
650		4	\|a finite difference
650		4	\|a LES
650		4	\|a turbulent flow
650		4	\|a Vortices
650		4	\|a Direct numerical simulation
650		4	\|a Turbulent flow
650		4	\|a Eddy simulation
650		4	\|a Computational fluid dynamics
650		4	\|a Mathematical models
650		4	\|a Large eddy simulation
650		4	\|a Variations
650		4	\|a Statistical analysis
650		4	\|a Velocity
650		4	\|a Simulation
650		4	\|a Low level
650		4	\|a Law of the wall
650		4	\|a Numerical analysis
650		4	\|a Computer simulation
650		4	\|a High Reynolds number
650		4	\|a Equilibrium
650		4	\|a Reynolds number
650		4	\|a Fluid flow
650		4	\|a Turbulence
650		4	\|a Physics
650		4	\|a Finance
650		4	\|a Computer Science
650		4	\|a Science
650		4	\|a Computational Engineering
650		4	\|a Computational Physics
650		4	\|a Fluid Dynamics
700	1		\|a Johnstone, Roderick \|4 oth
700	1		\|a Jacobs, Christian T \|4 oth
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bklnumber	50.33
publishDate	2017
allfields	10.1002/fld.4395 doi PQ20171228 (DE-627)OLC1997650991 (DE-599)GBVOLC1997650991 (PRQ)a1695-94da27ff8926e144a7f97c1a552d2453c015d8f7b1d886a15e1f390f027c9dfb3 (KEY)0104703520170000085000900525surfacesampledsimulationsofturbulentflowathighreyn DE-627 ger DE-627 rakwb eng 510 DE-600 50.33 bkl Sandham, Neil D verfasserin aut Surface‐sampled simulations of turbulent flow at high Reynolds number 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data. Nutzungsrecht: Copyright © 2017 The Authors International Journal for Numerical Methods in Fluids Published by John Wiley & Sons Ltd. incompressible flow turbulence models large eddy simulations Navier‐Stokes finite difference LES turbulent flow Vortices Direct numerical simulation Turbulent flow Eddy simulation Computational fluid dynamics Mathematical models Large eddy simulation Variations Statistical analysis Velocity Simulation Low level Law of the wall Numerical analysis Computer simulation High Reynolds number Equilibrium Reynolds number Fluid flow Turbulence Physics Finance Computer Science Science Computational Engineering Computational Physics Fluid Dynamics Johnstone, Roderick oth Jacobs, Christian T oth Enthalten in International journal for numerical methods in fluids Chichester : Wiley, 1981 85(2017), 9, Seite 525-537 (DE-627)129619604 (DE-600)245720-9 (DE-576)015124541 0271-2091 nnns volume:85 year:2017 number:9 pages:525-537 http://dx.doi.org/10.1002/fld.4395 Volltext http://onlinelibrary.wiley.com/doi/10.1002/fld.4395/abstract https://search.proquest.com/docview/1949398577 http://arxiv.org/abs/1704.08368 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 50.33 AVZ AR 85 2017 9 525-537
spelling	10.1002/fld.4395 doi PQ20171228 (DE-627)OLC1997650991 (DE-599)GBVOLC1997650991 (PRQ)a1695-94da27ff8926e144a7f97c1a552d2453c015d8f7b1d886a15e1f390f027c9dfb3 (KEY)0104703520170000085000900525surfacesampledsimulationsofturbulentflowathighreyn DE-627 ger DE-627 rakwb eng 510 DE-600 50.33 bkl Sandham, Neil D verfasserin aut Surface‐sampled simulations of turbulent flow at high Reynolds number 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data. Nutzungsrecht: Copyright © 2017 The Authors International Journal for Numerical Methods in Fluids Published by John Wiley & Sons Ltd. incompressible flow turbulence models large eddy simulations Navier‐Stokes finite difference LES turbulent flow Vortices Direct numerical simulation Turbulent flow Eddy simulation Computational fluid dynamics Mathematical models Large eddy simulation Variations Statistical analysis Velocity Simulation Low level Law of the wall Numerical analysis Computer simulation High Reynolds number Equilibrium Reynolds number Fluid flow Turbulence Physics Finance Computer Science Science Computational Engineering Computational Physics Fluid Dynamics Johnstone, Roderick oth Jacobs, Christian T oth Enthalten in International journal for numerical methods in fluids Chichester : Wiley, 1981 85(2017), 9, Seite 525-537 (DE-627)129619604 (DE-600)245720-9 (DE-576)015124541 0271-2091 nnns volume:85 year:2017 number:9 pages:525-537 http://dx.doi.org/10.1002/fld.4395 Volltext http://onlinelibrary.wiley.com/doi/10.1002/fld.4395/abstract https://search.proquest.com/docview/1949398577 http://arxiv.org/abs/1704.08368 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 50.33 AVZ AR 85 2017 9 525-537
allfields_unstemmed	10.1002/fld.4395 doi PQ20171228 (DE-627)OLC1997650991 (DE-599)GBVOLC1997650991 (PRQ)a1695-94da27ff8926e144a7f97c1a552d2453c015d8f7b1d886a15e1f390f027c9dfb3 (KEY)0104703520170000085000900525surfacesampledsimulationsofturbulentflowathighreyn DE-627 ger DE-627 rakwb eng 510 DE-600 50.33 bkl Sandham, Neil D verfasserin aut Surface‐sampled simulations of turbulent flow at high Reynolds number 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data. Nutzungsrecht: Copyright © 2017 The Authors International Journal for Numerical Methods in Fluids Published by John Wiley & Sons Ltd. incompressible flow turbulence models large eddy simulations Navier‐Stokes finite difference LES turbulent flow Vortices Direct numerical simulation Turbulent flow Eddy simulation Computational fluid dynamics Mathematical models Large eddy simulation Variations Statistical analysis Velocity Simulation Low level Law of the wall Numerical analysis Computer simulation High Reynolds number Equilibrium Reynolds number Fluid flow Turbulence Physics Finance Computer Science Science Computational Engineering Computational Physics Fluid Dynamics Johnstone, Roderick oth Jacobs, Christian T oth Enthalten in International journal for numerical methods in fluids Chichester : Wiley, 1981 85(2017), 9, Seite 525-537 (DE-627)129619604 (DE-600)245720-9 (DE-576)015124541 0271-2091 nnns volume:85 year:2017 number:9 pages:525-537 http://dx.doi.org/10.1002/fld.4395 Volltext http://onlinelibrary.wiley.com/doi/10.1002/fld.4395/abstract https://search.proquest.com/docview/1949398577 http://arxiv.org/abs/1704.08368 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 50.33 AVZ AR 85 2017 9 525-537
allfieldsGer	10.1002/fld.4395 doi PQ20171228 (DE-627)OLC1997650991 (DE-599)GBVOLC1997650991 (PRQ)a1695-94da27ff8926e144a7f97c1a552d2453c015d8f7b1d886a15e1f390f027c9dfb3 (KEY)0104703520170000085000900525surfacesampledsimulationsofturbulentflowathighreyn DE-627 ger DE-627 rakwb eng 510 DE-600 50.33 bkl Sandham, Neil D verfasserin aut Surface‐sampled simulations of turbulent flow at high Reynolds number 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data. Nutzungsrecht: Copyright © 2017 The Authors International Journal for Numerical Methods in Fluids Published by John Wiley & Sons Ltd. incompressible flow turbulence models large eddy simulations Navier‐Stokes finite difference LES turbulent flow Vortices Direct numerical simulation Turbulent flow Eddy simulation Computational fluid dynamics Mathematical models Large eddy simulation Variations Statistical analysis Velocity Simulation Low level Law of the wall Numerical analysis Computer simulation High Reynolds number Equilibrium Reynolds number Fluid flow Turbulence Physics Finance Computer Science Science Computational Engineering Computational Physics Fluid Dynamics Johnstone, Roderick oth Jacobs, Christian T oth Enthalten in International journal for numerical methods in fluids Chichester : Wiley, 1981 85(2017), 9, Seite 525-537 (DE-627)129619604 (DE-600)245720-9 (DE-576)015124541 0271-2091 nnns volume:85 year:2017 number:9 pages:525-537 http://dx.doi.org/10.1002/fld.4395 Volltext http://onlinelibrary.wiley.com/doi/10.1002/fld.4395/abstract https://search.proquest.com/docview/1949398577 http://arxiv.org/abs/1704.08368 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 50.33 AVZ AR 85 2017 9 525-537
allfieldsSound	10.1002/fld.4395 doi PQ20171228 (DE-627)OLC1997650991 (DE-599)GBVOLC1997650991 (PRQ)a1695-94da27ff8926e144a7f97c1a552d2453c015d8f7b1d886a15e1f390f027c9dfb3 (KEY)0104703520170000085000900525surfacesampledsimulationsofturbulentflowathighreyn DE-627 ger DE-627 rakwb eng 510 DE-600 50.33 bkl Sandham, Neil D verfasserin aut Surface‐sampled simulations of turbulent flow at high Reynolds number 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data. Nutzungsrecht: Copyright © 2017 The Authors International Journal for Numerical Methods in Fluids Published by John Wiley & Sons Ltd. incompressible flow turbulence models large eddy simulations Navier‐Stokes finite difference LES turbulent flow Vortices Direct numerical simulation Turbulent flow Eddy simulation Computational fluid dynamics Mathematical models Large eddy simulation Variations Statistical analysis Velocity Simulation Low level Law of the wall Numerical analysis Computer simulation High Reynolds number Equilibrium Reynolds number Fluid flow Turbulence Physics Finance Computer Science Science Computational Engineering Computational Physics Fluid Dynamics Johnstone, Roderick oth Jacobs, Christian T oth Enthalten in International journal for numerical methods in fluids Chichester : Wiley, 1981 85(2017), 9, Seite 525-537 (DE-627)129619604 (DE-600)245720-9 (DE-576)015124541 0271-2091 nnns volume:85 year:2017 number:9 pages:525-537 http://dx.doi.org/10.1002/fld.4395 Volltext http://onlinelibrary.wiley.com/doi/10.1002/fld.4395/abstract https://search.proquest.com/docview/1949398577 http://arxiv.org/abs/1704.08368 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 50.33 AVZ AR 85 2017 9 525-537
language	English
source	Enthalten in International journal for numerical methods in fluids 85(2017), 9, Seite 525-537 volume:85 year:2017 number:9 pages:525-537
sourceStr	Enthalten in International journal for numerical methods in fluids 85(2017), 9, Seite 525-537 volume:85 year:2017 number:9 pages:525-537
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topic_facet	incompressible flow turbulence models large eddy simulations Navier‐Stokes finite difference LES turbulent flow Vortices Direct numerical simulation Turbulent flow Eddy simulation Computational fluid dynamics Mathematical models Large eddy simulation Variations Statistical analysis Velocity Simulation Low level Law of the wall Numerical analysis Computer simulation High Reynolds number Equilibrium Reynolds number Fluid flow Turbulence Physics Finance Computer Science Science Computational Engineering Computational Physics Fluid Dynamics
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authorswithroles_txt_mv	Sandham, Neil D @@aut@@ Johnstone, Roderick @@oth@@ Jacobs, Christian T @@oth@@
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author	Sandham, Neil D
spellingShingle	Sandham, Neil D ddc 510 bkl 50.33 misc incompressible flow misc turbulence models misc large eddy simulations misc Navier‐Stokes misc finite difference misc LES misc turbulent flow misc Vortices misc Direct numerical simulation misc Turbulent flow misc Eddy simulation misc Computational fluid dynamics misc Mathematical models misc Large eddy simulation misc Variations misc Statistical analysis misc Velocity misc Simulation misc Low level misc Law of the wall misc Numerical analysis misc Computer simulation misc High Reynolds number misc Equilibrium misc Reynolds number misc Fluid flow misc Turbulence misc Physics misc Finance misc Computer Science misc Science misc Computational Engineering misc Computational Physics misc Fluid Dynamics Surface‐sampled simulations of turbulent flow at high Reynolds number
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topic_title	510 DE-600 50.33 bkl Surface‐sampled simulations of turbulent flow at high Reynolds number incompressible flow turbulence models large eddy simulations Navier‐Stokes finite difference LES turbulent flow Vortices Direct numerical simulation Turbulent flow Eddy simulation Computational fluid dynamics Mathematical models Large eddy simulation Variations Statistical analysis Velocity Simulation Low level Law of the wall Numerical analysis Computer simulation High Reynolds number Equilibrium Reynolds number Fluid flow Turbulence Physics Finance Computer Science Science Computational Engineering Computational Physics Fluid Dynamics
topic	ddc 510 bkl 50.33 misc incompressible flow misc turbulence models misc large eddy simulations misc Navier‐Stokes misc finite difference misc LES misc turbulent flow misc Vortices misc Direct numerical simulation misc Turbulent flow misc Eddy simulation misc Computational fluid dynamics misc Mathematical models misc Large eddy simulation misc Variations misc Statistical analysis misc Velocity misc Simulation misc Low level misc Law of the wall misc Numerical analysis misc Computer simulation misc High Reynolds number misc Equilibrium misc Reynolds number misc Fluid flow misc Turbulence misc Physics misc Finance misc Computer Science misc Science misc Computational Engineering misc Computational Physics misc Fluid Dynamics
topic_unstemmed	ddc 510 bkl 50.33 misc incompressible flow misc turbulence models misc large eddy simulations misc Navier‐Stokes misc finite difference misc LES misc turbulent flow misc Vortices misc Direct numerical simulation misc Turbulent flow misc Eddy simulation misc Computational fluid dynamics misc Mathematical models misc Large eddy simulation misc Variations misc Statistical analysis misc Velocity misc Simulation misc Low level misc Law of the wall misc Numerical analysis misc Computer simulation misc High Reynolds number misc Equilibrium misc Reynolds number misc Fluid flow misc Turbulence misc Physics misc Finance misc Computer Science misc Science misc Computational Engineering misc Computational Physics misc Fluid Dynamics
topic_browse	ddc 510 bkl 50.33 misc incompressible flow misc turbulence models misc large eddy simulations misc Navier‐Stokes misc finite difference misc LES misc turbulent flow misc Vortices misc Direct numerical simulation misc Turbulent flow misc Eddy simulation misc Computational fluid dynamics misc Mathematical models misc Large eddy simulation misc Variations misc Statistical analysis misc Velocity misc Simulation misc Low level misc Law of the wall misc Numerical analysis misc Computer simulation misc High Reynolds number misc Equilibrium misc Reynolds number misc Fluid flow misc Turbulence misc Physics misc Finance misc Computer Science misc Science misc Computational Engineering misc Computational Physics misc Fluid Dynamics
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title	Surface‐sampled simulations of turbulent flow at high Reynolds number
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title_full	Surface‐sampled simulations of turbulent flow at high Reynolds number
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title_sort	surface‐sampled simulations of turbulent flow at high reynolds number
title_auth	Surface‐sampled simulations of turbulent flow at high Reynolds number
abstract	A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data.
abstractGer	A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data.
abstract_unstemmed	A new approach to turbulence simulation, based on a combination of large eddy simulation (LES) for the whole flow and an array of non–space‐filling quasi‐direct numerical simulations (QDNS), which sample the response of near‐wall turbulence to large‐scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse‐grid LES, with the equivalent of wall functions supplied by the near‐wall sampled QDNS. Two cases are tested, at friction Reynolds number Re τ =4200 and 20000. The total grid point count for the first case is less than half a million and less than 2 million for the second case, with the calculations only requiring a desktop computer. A good agreement with published direct numerical simulation (DNS) is found at Re τ =4200, both in the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near‐wall turbulence levels due to a modulation of near‐wall streaks by large‐scale structures. The trend continues at Re τ =20000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. Two channel flow cases are tested, at friction Reynolds number 4200 and 20 000, with the first case agreeing well with published direct numerical simulation data.
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title_short	Surface‐sampled simulations of turbulent flow at high Reynolds number
url	http://dx.doi.org/10.1002/fld.4395 http://onlinelibrary.wiley.com/doi/10.1002/fld.4395/abstract https://search.proquest.com/docview/1949398577 http://arxiv.org/abs/1704.08368
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A number of detailed aspects of the model, including numerical resolution, LES‐QDNS coupling strategy and subgrid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium. A new approach to turbulence simulation through the coupling of a large eddy simulation (simulating the whole flow) with an array of non–space‐filling quasi‐direct numerical simulations, which sample the response of near‐wall turbulence to large‐scale forcing, is presented. The technique overcomes some of the cost limitations of turbulence simulation. 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ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal for numerical methods in fluids</subfield><subfield code="d">Chichester : Wiley, 1981</subfield><subfield code="g">85(2017), 9, Seite 525-537</subfield><subfield code="w">(DE-627)129619604</subfield><subfield code="w">(DE-600)245720-9</subfield><subfield code="w">(DE-576)015124541</subfield><subfield code="x">0271-2091</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:85</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:9</subfield><subfield code="g">pages:525-537</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1002/fld.4395</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://onlinelibrary.wiley.com/doi/10.1002/fld.4395/abstract</subfield></datafield><datafield 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