{"title":"Pressure correction method with time filter for incompressible Navier–Stokes equations","authors":"Ning Li , Jilian Wu , Xinlong Feng , Yi Li","doi":"10.1016/j.cnsns.2025.109102","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we present standard pressure correction (SPC) and rotational pressure correction (RPC) methods with time filters for two- or three-dimensional (2D/3D) time-dependent incompressible Navier–Stokes equations. The core technique of these methods is to add a time filter at each time step after the original first- and second-order pressure correction methods, which not only decouples velocity and pressure, but also improves the temporal accuracy from first-order to second-order and from second-order to third-order, while not increasing additional computational complexity. Furthermore, combining the original pressure correction method, the pressure correction method plus time filter and the adaptive algorithm design idea, we constructed easy-to-implement adaptive time stepsize pressure correction algorithms and variable stepsize, variable order (VSVO) pressure correction algorithms. We also prove that both first-order SPC and RPC algorithms plus time filter are unconditionally stable and establish error estimates of the velocity for the first-order SPC method plus time filter. Finally, we provide numerical tests to demonstrate the performance of the proposed algorithm, with particular emphasis on the outstanding results achieved by the VSVO pressure correction method.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"151 ","pages":"Article 109102"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425005131","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present standard pressure correction (SPC) and rotational pressure correction (RPC) methods with time filters for two- or three-dimensional (2D/3D) time-dependent incompressible Navier–Stokes equations. The core technique of these methods is to add a time filter at each time step after the original first- and second-order pressure correction methods, which not only decouples velocity and pressure, but also improves the temporal accuracy from first-order to second-order and from second-order to third-order, while not increasing additional computational complexity. Furthermore, combining the original pressure correction method, the pressure correction method plus time filter and the adaptive algorithm design idea, we constructed easy-to-implement adaptive time stepsize pressure correction algorithms and variable stepsize, variable order (VSVO) pressure correction algorithms. We also prove that both first-order SPC and RPC algorithms plus time filter are unconditionally stable and establish error estimates of the velocity for the first-order SPC method plus time filter. Finally, we provide numerical tests to demonstrate the performance of the proposed algorithm, with particular emphasis on the outstanding results achieved by the VSVO pressure correction method.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
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