218
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

A decoupled scheme with leap-frog multi-time step for non-stationary Stokes–Darcy system

, , &
Pages 361-381 | Received 13 May 2015, Accepted 06 Aug 2016, Published online: 24 Feb 2017
 

ABSTRACT

In this paper, a multiple-time-step decoupled algorithm for a non-stationary Stokes–Darcy problem is proposed and investigated. Under a modest time step restriction of physical parameters and the time step proportion, we give the stability analysis and convergence analysis of the decoupled scheme with different time step in fluid and porous subregions. Finally, a series of numerical experiments are provided to illustrate the accuracy, efficiency, and stability of the presented method for the coupled problem with the Beavers–Joseph–Saffman–Jones interface conditions.

2010 Mathematics Subject Classifications:

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work is partially supported by the National Natural Science Foundation of China under the contract No. 11401467, China Postdoctoral Science Foundation Funded Project under the contract No. 2013M542334 and No. 2015T81012, Natural Science Foundation of Shaanxi Province under the contract No. 2015JQ1012, Fundamental Research Funds for the Central Universities under the contract No. xjj2014011, and Foundation CMG in Xi'an Jiaotong University.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,129.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.