An efficient method for the incompressible Navier-Stokes equations on irregular domains with no-slip boundary conditions, high order up to the boundary
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作者:
Shirokoff, D.
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MIT, Dept Math, Cambridge, MA 02139 USAMIT, Dept Math, Cambridge, MA 02139 USA
Shirokoff, D.
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Rosales, R. R.
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MIT, Dept Math, Cambridge, MA 02139 USAMIT, Dept Math, Cambridge, MA 02139 USA
Common efficient schemes for the incompressible Navier-Stokes equations, such as projection or fractional step methods, have limited temporal accuracy as a result of matrix splitting errors, or introduce errors near the domain boundaries (which destroy uniform convergence to the solution). In this paper we recast the incompressible (constant density) Navier-Stokes equations (with the velocity prescribed at the boundary) as an equivalent system, for the primary variables velocity and pressure. equation for the pressure. The key difference from the usual approaches occurs at the boundaries, where we use boundary conditions that unequivocally allow the pressure to be recovered from knowledge of the velocity at any fixed time. This avoids the common difficulty of an, apparently, over-determined Poisson problem. Since in this alternative formulation the pressure can be accurately and efficiently recovered from the velocity, the recast equations are ideal for numerical marching methods. The new system can be discretized using a variety of methods, including semi-implicit treatments of viscosity, and in principle to any desired order of accuracy. In this work we illustrate the approach with a 2-D second order finite difference scheme on a Cartesian grid, and devise an algorithm to solve the equations on domains with curved (non-conforming) boundaries, including a case with a non-trivial topology (a circular obstruction inside the domain). This algorithm achieves second order accuracy in the L-infinity norm, for both the velocity and the pressure. The scheme has a natural extension to 3-D. (C) 2011 Elsevier Inc. All rights reserved.
机构:
Uppsala Univ, Div Comp Sci, Dept Informat Technol, SE-75105 Uppsala, SwedenUppsala Univ, Div Comp Sci, Dept Informat Technol, SE-75105 Uppsala, Sweden
Abbas, Qaisar
Nordstrom, Jan
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Uppsala Univ, Div Comp Sci, Dept Informat Technol, SE-75105 Uppsala, Sweden
Swedish Def Res Agcy, Dept Aeronaut & Syst Integrat, SE-16490 Stockholm, Sweden
Univ Witwatersrand, Sch Mech Ind & Aeronaut Engn, ZA-2050 Johannesburg, South AfricaUppsala Univ, Div Comp Sci, Dept Informat Technol, SE-75105 Uppsala, Sweden
机构:
Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
Shanghai Normal Univ, Div Comp Sci, E Inst Shanghai Univ, Shanghai 200234, Peoples R ChinaShanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
机构:
Inst Appl Phys & Computat Math, Beijing 100188, Peoples R ChinaInst Appl Phys & Computat Math, Beijing 100188, Peoples R China
Liao, Jiajiang
Sueur, Franck
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Univ Bordeaux, Inst Math Bordeaux, F-33405 Talence, France
Inst Univ France, Paris, FranceInst Appl Phys & Computat Math, Beijing 100188, Peoples R China
Sueur, Franck
Zhang, Ping
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机构:
Chinese Acad Sci, Hua Loo Keng Key Lab Math, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R ChinaInst Appl Phys & Computat Math, Beijing 100188, Peoples R China
机构:
Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
Shanghai Normal Univ, Shanghai Univ, Sci Comp Key Lab, Shanghai 200234, Peoples R China
Shanghai Normal Univ, Shanghai Univ E Inst Computat Sci, Shanghai 200234, Peoples R ChinaShanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
Guo, Ben-yu
Jiao, Yu-jian
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Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
Shanghai Normal Univ, Shanghai Univ, Sci Comp Key Lab, Shanghai 200234, Peoples R China
Shanghai Normal Univ, Shanghai Univ E Inst Computat Sci, Shanghai 200234, Peoples R ChinaShanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
机构:
Univ Oslo, Ctr Math Applicat, N-0316 Oslo, NorwayUniv Oslo, Ctr Math Applicat, N-0316 Oslo, Norway
Svard, Magnus
Nordstrom, Jan
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机构:
Swedish Def Res Agcy, Dept Computat Phys, SE-16490 Stockholm, Sweden
Uppsala Univ, Dept Informat Technol, SE-75105 Uppsala, Sweden
KTH Royal Inst Technol, Dept Aeronaut & Vehicle Engn, SE-10044 Stockholm, SwedenUniv Oslo, Ctr Math Applicat, N-0316 Oslo, Norway