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Two-Grid Domain Decomposition Methods for the Steady-State Navier-Stokes-Darcy Model.

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Title: Two-Grid Domain Decomposition Methods for the Steady-State Navier-Stokes-Darcy Model.
Authors: Hao Zheng1 HZheng@stu.ujn.edu.cn, Liyun Zuo2 sms.zuoly@ujn.edu.cn
Source: Engineering Letters. Aug2025, Vol. 33 Issue 8, p3197-3203. 7p.
Subjects: Domain decomposition methods, Steady-state flow, Boundary value problems
Abstract: We develop a family of robin-type domain decomposition techniques, employing a two-grid methodology, for the efficient solution of the Navier-Stokes-Darcy system. Our methodology commences by utilizing the well-established robin-type domain decomposition technique to generate initial coarse grid approximations. Following this, we enhance the fine grid problem formulation within the two grid methodologys framework, by substituting certain interface conditions with data derived from the coarse grid, thereby refining the overall solution process. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Two-Grid Domain Decomposition Methods for the Steady-State Navier-Stokes-Darcy Model.
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  Data: <searchLink fieldCode="AR" term="%22Hao+Zheng%22">Hao Zheng</searchLink><relatesTo>1</relatesTo><i> HZheng@stu.ujn.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liyun+Zuo%22">Liyun Zuo</searchLink><relatesTo>2</relatesTo><i> sms.zuoly@ujn.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. Aug2025, Vol. 33 Issue 8, p3197-3203. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Domain+decomposition+methods%22">Domain decomposition methods</searchLink><br /><searchLink fieldCode="DE" term="%22Steady-state+flow%22">Steady-state flow</searchLink><br /><searchLink fieldCode="DE" term="%22Boundary+value+problems%22">Boundary value problems</searchLink>
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  Label: Abstract
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  Data: We develop a family of robin-type domain decomposition techniques, employing a two-grid methodology, for the efficient solution of the Navier-Stokes-Darcy system. Our methodology commences by utilizing the well-established robin-type domain decomposition technique to generate initial coarse grid approximations. Following this, we enhance the fine grid problem formulation within the two grid methodologys framework, by substituting certain interface conditions with data derived from the coarse grid, thereby refining the overall solution process. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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        PageCount: 7
        StartPage: 3197
    Subjects:
      – SubjectFull: Domain decomposition methods
        Type: general
      – SubjectFull: Steady-state flow
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      – SubjectFull: Boundary value problems
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      – TitleFull: Two-Grid Domain Decomposition Methods for the Steady-State Navier-Stokes-Darcy Model.
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              Text: Aug2025
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              Y: 2025
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