不可压缩Navier-Stokes方程的Lagrange-Galerkin方法综述

R. Bermejo, L. Saavedra
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引用次数: 11

摘要

摘要本文综述了工程应用中不可压缩Navier-Stokes方程的拉格朗日-伽辽金(LG)积分方法的发展。这些方法是在上个世纪八十年代初在计算流体力学界引入的,当时它们被认为是理论稳定性和处理方程非线性项的好方法;然而,将LG方法应用于不同问题所获得的数值经验已经确定了它们的缺点,例如在其公式中出现的特定积分的计算和低轨迹的计算,这在某种程度上阻碍了LG方法的适用性。本文主要针对这些问题,总结了LG方法的收敛性结果;此外,我们将简要介绍一种新的适用于高雷诺数的稳定LG方法。
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Lagrange–Galerkin methods for the incompressible Navier-Stokes equations: a review
Abstract We review in this paper the development of Lagrange-Galerkin (LG) methods to integrate the incompressible Navier-Stokes equations (NSEs) for engineering applications. These methods were introduced in the computational fluid dynamics community in the early eighties of the past century, and at that time they were considered good methods for both their theoretical stability properties and the way of dealing with the nonlinear terms of the equations; however, the numerical experience gained with the application of LG methods to different problems has identified drawbacks of them, such as the calculation of specific integrals that arise in their formulation and the calculation of the ow trajectories, which somehow have hampered the applicability of LG methods. In this paper, we focus on these issues and summarize the convergence results of LG methods; furthermore, we shall briefly introduce a new stabilized LG method suitable for high Reynolds numbers.
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
3
审稿时长
16 weeks
期刊介绍: Communications in Applied and Industrial Mathematics (CAIM) is one of the official journals of the Italian Society for Applied and Industrial Mathematics (SIMAI). Providing immediate open access to original, unpublished high quality contributions, CAIM is devoted to timely report on ongoing original research work, new interdisciplinary subjects, and new developments. The journal focuses on the applications of mathematics to the solution of problems in industry, technology, environment, cultural heritage, and natural sciences, with a special emphasis on new and interesting mathematical ideas relevant to these fields of application . Encouraging novel cross-disciplinary approaches to mathematical research, CAIM aims to provide an ideal platform for scientists who cooperate in different fields including pure and applied mathematics, computer science, engineering, physics, chemistry, biology, medicine and to link scientist with professionals active in industry, research centres, academia or in the public sector. Coverage includes research articles describing new analytical or numerical methods, descriptions of modelling approaches, simulations for more accurate predictions or experimental observations of complex phenomena, verification/validation of numerical and experimental methods; invited or submitted reviews and perspectives concerning mathematical techniques in relation to applications, and and fields in which new problems have arisen for which mathematical models and techniques are not yet available.
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