Towards Simple Implicit Preconditioning Riemann Solvers for the Simulation of the Low Mach number Flows

碩士 === 淡江大學 === 航空太空工程學系碩士班 === 104 === Here, a scalar matrix-free implicit type preconditioning hybrid AUSMD(R) solver for multi-phase flows is developed. The numerical stability problem caused by the multi-scale speed of sound due to uncertain dissipation terms in the current schemes which can be...

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Main Authors: Ming-Jung Yang, 楊銘榮
Other Authors: 牛仰堯
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/96313237209310800704
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spelling ndltd-TW-104TKU052950112017-08-27T04:30:25Z http://ndltd.ncl.edu.tw/handle/96313237209310800704 Towards Simple Implicit Preconditioning Riemann Solvers for the Simulation of the Low Mach number Flows 可調式黎曼解模擬低馬赫速流體 Ming-Jung Yang 楊銘榮 碩士 淡江大學 航空太空工程學系碩士班 104 Here, a scalar matrix-free implicit type preconditioning hybrid AUSMD(R) solver for multi-phase flows is developed. The numerical stability problem caused by the multi-scale speed of sound due to uncertain dissipation terms in the current schemes which can be resolved by rescaling the eigenvalues of the Euler type system equations to enhance computational convergence. This paper presents implicit pre-conditioning approaches which indicate similarly accurate results obtained with the fully implicit and Runge-Kutta explicit schemes. The current used homogeneous two-phase mixture model with the assumption of kinematics and thermodynamics equilibriums. The thermodynamics behaviors of liquid phase, vapor phase and their phase transitional process are described by a temperature dependent hybrid equation of state which includes a mass-fraction averaged formula of water-vapor saturation process. The current work shows that the scalar matrix free implicit schemes are capable of improving the computational efficiency over its explicit counterpart. Several benchmark tests are used for numerical validations. 牛仰堯 2016 學位論文 ; thesis 72 en_US
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language en_US
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description 碩士 === 淡江大學 === 航空太空工程學系碩士班 === 104 === Here, a scalar matrix-free implicit type preconditioning hybrid AUSMD(R) solver for multi-phase flows is developed. The numerical stability problem caused by the multi-scale speed of sound due to uncertain dissipation terms in the current schemes which can be resolved by rescaling the eigenvalues of the Euler type system equations to enhance computational convergence. This paper presents implicit pre-conditioning approaches which indicate similarly accurate results obtained with the fully implicit and Runge-Kutta explicit schemes. The current used homogeneous two-phase mixture model with the assumption of kinematics and thermodynamics equilibriums. The thermodynamics behaviors of liquid phase, vapor phase and their phase transitional process are described by a temperature dependent hybrid equation of state which includes a mass-fraction averaged formula of water-vapor saturation process. The current work shows that the scalar matrix free implicit schemes are capable of improving the computational efficiency over its explicit counterpart. Several benchmark tests are used for numerical validations.
author2 牛仰堯
author_facet 牛仰堯
Ming-Jung Yang
楊銘榮
author Ming-Jung Yang
楊銘榮
spellingShingle Ming-Jung Yang
楊銘榮
Towards Simple Implicit Preconditioning Riemann Solvers for the Simulation of the Low Mach number Flows
author_sort Ming-Jung Yang
title Towards Simple Implicit Preconditioning Riemann Solvers for the Simulation of the Low Mach number Flows
title_short Towards Simple Implicit Preconditioning Riemann Solvers for the Simulation of the Low Mach number Flows
title_full Towards Simple Implicit Preconditioning Riemann Solvers for the Simulation of the Low Mach number Flows
title_fullStr Towards Simple Implicit Preconditioning Riemann Solvers for the Simulation of the Low Mach number Flows
title_full_unstemmed Towards Simple Implicit Preconditioning Riemann Solvers for the Simulation of the Low Mach number Flows
title_sort towards simple implicit preconditioning riemann solvers for the simulation of the low mach number flows
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/96313237209310800704
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