Second-Order, Energy-Stable and Maximum Bound Principle Preserving Schemes for Two-Phase Incompressible Flow
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作者:
Li, Xiaoli
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机构:
Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R ChinaShandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China
Li, Xiaoli
[1
]
Liu, Hao
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机构:
Shanghai Jiao Tong Univ, Sch Math Sci, Shanghai, Peoples R China
Shanghai Jiao Tong Univ, Inst Nat Sci, Shanghai, Peoples R ChinaShandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China
Liu, Hao
[2
,3
]
Zheng, Nan
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机构:
Hong Kong Polytech Univ, Dept Appl Math, Hung Hom, Kowloon, Hong Kong, Peoples R ChinaShandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China
Zheng, Nan
[4
]
机构:
[1] Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Math Sci, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, Inst Nat Sci, Shanghai, Peoples R China
[4] Hong Kong Polytech Univ, Dept Appl Math, Hung Hom, Kowloon, Hong Kong, Peoples R China
Allen-Cahn;
Navier-Stokes;
Energy dissipation;
Second-order;
MAC scheme;
Maximum bound principle;
NAVIER-STOKES EQUATIONS;
ALLEN-CAHN EQUATION;
PROJECTION METHODS;
FINITE-DIFFERENCE;
NUMERICAL SCHEME;
ERROR ANALYSIS;
MAC SCHEME;
TIME;
CONVERGENCE;
EFFICIENT;
D O I:
10.1007/s10915-025-02810-7
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
In this paper, we propose several linear fully discrete schemes for the mass-conserved Allen-Cahn-Navier-Stokes equation, based on the generalized stabilized exponential scalar auxiliary variable approach in time and the marker and cell (MAC) scheme in space. It is quite remarkable that our schemes can guarantee second-order accuracy in space provided the maximum bound principle (MBP) is satisfied, whereas most previous work can only possess first-order accuracy in space. We rigorously show that the constructed schemes satisfy the unconditional energy dissipation law and preserve the MBP. Finally, various numerical examples are presented to verify the theoretical results and demonstrate the efficiency of the proposed schemes.
机构:
Indiana Univ, Dept Math, Bloomington, IN 47405 USAIndiana Univ, Dept Math, Bloomington, IN 47405 USA
Han, Daozhi
Brylev, Alex
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机构:
Univ South Carolina, Dept Math, Columbia, SC 29208 USAIndiana Univ, Dept Math, Bloomington, IN 47405 USA
Brylev, Alex
Yang, Xiaofeng
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机构:
Univ South Carolina, Dept Math, Columbia, SC 29208 USAIndiana Univ, Dept Math, Bloomington, IN 47405 USA
Yang, Xiaofeng
Tan, Zhijun
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机构:
Sun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510275, Guangdong, Peoples R China
Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Guangdong, Peoples R ChinaIndiana Univ, Dept Math, Bloomington, IN 47405 USA