中大學術數位典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/109267
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94201/94201 (100%)
Visitors : 81578667      Online Users : 2623
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/109267


    Title: Parallel domain decomposition method for finite element approximation of 3D steady state non-Newtonian fluids
    Authors: 黃楓南;Shiu, Wen-Shin;Hwang, Feng-Nan;Cai, Xiao-Chuan
    Contributors: 理學院數學系
    Keywords: Algorithms;Computational fluid dynamics;Cylinders;Decomposition;Finite element method;Fluid flow;Mathematical analysis;Mathematical models;Navier-Stokes equations;Newton-Krylov-Schwarz algorithm;non-Newtonian fluids;parallel computing;stabilized finite element method;Three dimensional
    Date: 2015-07-20
    Issue Date: 2026-04-23 16:20:04 (UTC+8)
    Publisher: John Wiley and Sons Ltd;Bognor Regis: Blackwell Publishing Ltd
    Abstract: 摘要: SummaryWe introduce a stabilized finite element method for the 3D non‐Newtonian Navier–Stokes equations and a parallel domain decomposition method for solving the sparse system of nonlinear equations arising from the discretization. Non‐Newtonian flow problems are, generally speaking, more challenging than Newtonian flows because the nonlinearities are not only in the convection term but also in the viscosity term, which depends on the shear rate. Many good iterative methods and preconditioning techniques that work well for the Newtonian flows do not work well for the non‐Newtonian flows. We employ a Galerkin/least squares finite element method, with stabilization parameters adjusted to count the non‐Newtonian effect, to discretize the equations, and the resulting highly nonlinear system of equations is solved by a Newton–Krylov–Schwarz algorithm. In this study, we apply the proposed method to some inelastic power‐law fluid flows through the eccentric annuli with inner cylinder rotation and investigate the robustness of the method with respect to some physical parameters, including the power‐law index and the Reynolds number ratios. We then report the superlinear speedup achieved by the domain decomposition algorithm on a computer with up to 512 processors. Copyright © 2015 John Wiley & Sons, Ltd. We introduce a stabilized finite element method for 3D non‐Newtonian fluids and a parallel algorithm for solving the large nonlinear system of algebraic equations. The domain decomposition‐based preconditioning algorithm is quite effective for these highly ill‐conditioned problems with a wide range of physical parameters. Using numerical experiments, we provide some quantitative analysis of certain rotational eccentric annular flows in terms of pressure (left) and shear stress distributions (right) for the pseudoplastic case (top) and the dilatant case (bottom).
    其他題名: Int. J. Numer. Meth. Fluids
    出版者: Bognor Regis: Blackwell Publishing Ltd
    出版日期: 2015-07-20
    出處: International journal for numerical methods in fluids, 2015-07, Vol.78 (8), p.502-520
    資源來源: Wiley Online Library Journals
    版權: Copyright © 2015 John Wiley & Sons, Ltd.
    識別號: ISSN: 0271-2091
    識別號: ISSN: 1097-0363
    識別號: EISSN: 1097-0363
    識別號: DOI: 10.1002/fld.4027
    識別號: CODEN: IJNFDW
    Appears in Collections:[Department of Mathematics] journal & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML13View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明