{"title":"基于差分有限元法的含阻尼三维平稳Navier-Stokes方程的两级离散化","authors":"Qi Zhang, Pengzhan Huang","doi":"10.1007/s10444-025-10255-7","DOIUrl":null,"url":null,"abstract":"<div><p>A difference finite element method based on the mixed finite element pair <span>\\(((P_1^b,P_1^b,P_1) \\times (P_1,P_1,P_1))\\)</span>-<span>\\((P_1 \\times P_0)\\)</span> is presented for the three-dimensional stationary Navier–Stokes equations with damping. Moreover, based on this proposed method, a two-level discretization is constructed, which involves solving a problem of the Navier–Stokes equations with damping on coarse mesh with mesh sizes <i>H</i> and <span>\\(\\mathcal {T}\\)</span>, and a general Stokes problem on fine mesh with mesh sizes <span>\\(h = O(H^2)\\)</span> and <span>\\(\\tau = O(\\mathcal {T}^2)\\)</span>. This two-level difference finite element method provides an approximate solution with the same convergence rate as the difference finite element solution, which involves solving a problem of the Navier–Stokes equations with damping on fine mesh with mesh sizes <i>h</i> and <span>\\(\\tau \\)</span>. Hence, it can save a large amount of computational time. Finally, all computational results support the theoretical analysis and show the effectiveness of the two-level difference finite element method for solving the considered problem.</p></div>","PeriodicalId":50869,"journal":{"name":"Advances in Computational Mathematics","volume":"51 4","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-level discretization of the 3D stationary Navier–Stokes equations with damping based on a difference finite element method\",\"authors\":\"Qi Zhang, Pengzhan Huang\",\"doi\":\"10.1007/s10444-025-10255-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A difference finite element method based on the mixed finite element pair <span>\\\\(((P_1^b,P_1^b,P_1) \\\\times (P_1,P_1,P_1))\\\\)</span>-<span>\\\\((P_1 \\\\times P_0)\\\\)</span> is presented for the three-dimensional stationary Navier–Stokes equations with damping. Moreover, based on this proposed method, a two-level discretization is constructed, which involves solving a problem of the Navier–Stokes equations with damping on coarse mesh with mesh sizes <i>H</i> and <span>\\\\(\\\\mathcal {T}\\\\)</span>, and a general Stokes problem on fine mesh with mesh sizes <span>\\\\(h = O(H^2)\\\\)</span> and <span>\\\\(\\\\tau = O(\\\\mathcal {T}^2)\\\\)</span>. This two-level difference finite element method provides an approximate solution with the same convergence rate as the difference finite element solution, which involves solving a problem of the Navier–Stokes equations with damping on fine mesh with mesh sizes <i>h</i> and <span>\\\\(\\\\tau \\\\)</span>. Hence, it can save a large amount of computational time. Finally, all computational results support the theoretical analysis and show the effectiveness of the two-level difference finite element method for solving the considered problem.</p></div>\",\"PeriodicalId\":50869,\"journal\":{\"name\":\"Advances in Computational Mathematics\",\"volume\":\"51 4\",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Computational Mathematics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10444-025-10255-7\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Mathematics","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10444-025-10255-7","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Two-level discretization of the 3D stationary Navier–Stokes equations with damping based on a difference finite element method
A difference finite element method based on the mixed finite element pair \(((P_1^b,P_1^b,P_1) \times (P_1,P_1,P_1))\)-\((P_1 \times P_0)\) is presented for the three-dimensional stationary Navier–Stokes equations with damping. Moreover, based on this proposed method, a two-level discretization is constructed, which involves solving a problem of the Navier–Stokes equations with damping on coarse mesh with mesh sizes H and \(\mathcal {T}\), and a general Stokes problem on fine mesh with mesh sizes \(h = O(H^2)\) and \(\tau = O(\mathcal {T}^2)\). This two-level difference finite element method provides an approximate solution with the same convergence rate as the difference finite element solution, which involves solving a problem of the Navier–Stokes equations with damping on fine mesh with mesh sizes h and \(\tau \). Hence, it can save a large amount of computational time. Finally, all computational results support the theoretical analysis and show the effectiveness of the two-level difference finite element method for solving the considered problem.
期刊介绍:
Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis.
This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.