We consider the numerical approximation of a sharp-interface model for two-phase flow, which is given by the incompressible Navier-Stokes equations in the bulk domain together with the classical interface conditions on the interface. We propose structure-preserving finite element methods for the model, meaning in particular that volume preservation and energy decay are satisfied on the discrete level. For the evolving fluid interface, we employ parametric finite element approximations that introduce an implicit tangential velocity to improve the quality of the interface mesh. For the two-phase Navier-Stokes equations, we consider two different approaches: an unfitted and a fitted finite element method, respectively. In the unfitted approach, the constructed method is based on an Eulerian weak formulation, while in the fitted approach a novel arbitrary Lagrangian-Eulerian (ALE) weak formulation is introduced. Using suitable discretizations of these two formulations, we introduce two finite element methods and prove their structure-preserving properties. Numerical results are presented to show the accuracy and efficiency of the introduced methods. (c) 2023 Elsevier Inc. All rights reserved.
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King Abdullah Univ Sci & Technol, Phys Sci & Engn Div PSE, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Phys Sci & Engn Div PSE, Thuwal 239556900, Saudi Arabia
Wang, Minmiao
Gao, Wei
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King Abdullah Univ Sci & Technol, Phys Sci & Engn Div PSE, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Phys Sci & Engn Div PSE, Thuwal 239556900, Saudi Arabia
Gao, Wei
Parsani, Matteo
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King Abdullah Univ Sci & Technol, Phys Sci & Engn Div PSE, Thuwal 239556900, Saudi Arabia
King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div CEMSE, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Phys Sci & Engn Div PSE, Thuwal 239556900, Saudi Arabia
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Beijing Computat Sci Res Ctr, Mech Div, Bldg 9,ZPk 2,10 East Xibeiwang Rd, Beijing 100193, Peoples R ChinaBeijing Computat Sci Res Ctr, Mech Div, Bldg 9,ZPk 2,10 East Xibeiwang Rd, Beijing 100193, Peoples R China
Guo, Zhenlin
Cheng, Qing
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IIT, Dept Appl Math, 10 West 35th St, Chicago, IL 60616 USABeijing Computat Sci Res Ctr, Mech Div, Bldg 9,ZPk 2,10 East Xibeiwang Rd, Beijing 100193, Peoples R China
Cheng, Qing
Lin, Ping
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Univ Dundee, Div Math, Dundee DD1 4HN, ScotlandBeijing Computat Sci Res Ctr, Mech Div, Bldg 9,ZPk 2,10 East Xibeiwang Rd, Beijing 100193, Peoples R China
Lin, Ping
Liu, Chun
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IIT, Dept Appl Math, 10 West 35th St, Chicago, IL 60616 USABeijing Computat Sci Res Ctr, Mech Div, Bldg 9,ZPk 2,10 East Xibeiwang Rd, Beijing 100193, Peoples R China
Liu, Chun
Lowengrub, John
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Univ Calif Irvine, Dept Appl Math, 540H Rowland Hall, Irvine, CA 92697 USABeijing Computat Sci Res Ctr, Mech Div, Bldg 9,ZPk 2,10 East Xibeiwang Rd, Beijing 100193, Peoples R China