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Error estimates of a decoupled algorithm for a fluid–fluid interaction problem.

Authors :
Zhang, Yuhong
Hou, Yanren
Shan, Li
Source :
Journal of Computational & Applied Mathematics. May2018, Vol. 333, p266-291. 26p.
Publication Year :
2018

Abstract

In this paper, we study the error estimates of a decoupled algorithm for the fluid–fluid model. The system consists of two Navier–Stokes equations which are coupled by a set of linear interface conditions. We apply the partitioned time stepping method to decouple the system. The corresponding scheme is unconditionally stable and we prove that the error estimates for velocities in L 2 norm are optimal. Moreover, under a restriction on the time step scale, we prove that the convergent orders for the velocities in H 1 norm and for the pressures in L 2 norm are Δ t 7 8 + h and Δ t 3 4 + h , respectively. Two numerical examples are given to verify our theoretical results. Besides, by comparing the decoupled algorithm with the coupled one, numerical test shows the effectiveness of our decoupled method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03770427
Volume :
333
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
127137576
Full Text :
https://doi.org/10.1016/j.cam.2017.10.039