arrow
Return

A generalized finite difference method for solving Stokes interface problems

delete2021-11-01
delete18
PRE
AI
M
Mengru Shao
L
Lina Song *
李柏纬 cover
李柏纬 (Po-Wei Li)
DOI:10.1016/j.enganabound.2021.07.002delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this paper, a new scheme is proposed to solve the Stokes interface problem. The scheme turns the Stokes interface problem into two coupled Stokes non-interface subproblems and adds a mixed boundary condition to overcome the numerical pressure oscillation. Since the interface becomes the boundary of the subproblems, the scheme has the advantage to deal with the interface problem with complex geometry. Furthermore, a generalized finite difference method (GFDM) is adopted to solve the coupled Stokes non-interface subproblems. The GFDM is developed from the Taylor series expansions and moving-least squares approximation. Due to the flexibility of the GFDM, it is convenient to handle the complex boundary conditions that appeared in the proposed scheme. The numerical examples verify the accuracy and stability of the GFDM to solve the Stokes interface problem with the mixed boundary conditions. Moreover, for some given numerical examples, the proposed scheme is more accurate than the classical formula of the pressure Poisson equation, especially in terms of pressure.
Keywords:
Meshless numerical method
Generalized finite difference method
The Stokes interface problem
Mixed boundary condition
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Engineering Analysis with Boundary Elements cover
Engineering Analysis with Boundary Elements
IF:
4.1
Papers:
5.8K
Citations:
9.4K

Organization

Q
Qingdao University
Scholars:
3.1W
Papers: 2.1W
Citations: 3.7W
Cited Papers

Cited Papers

Early evidence that social distancing and public health interventions flatten the COVID-19 curve in Italy
err
IF0
err2020-04-26
err0
PREAI
errValentina Rotondi; Liliana Andriano; Jennifer Beam Dowd; Melinda C. Mills
errShare
errSave
An Ensemble Machine Learning Approach for Tropical Cyclone Localization and Tracking From ERA5 Reanalysis Data
err2023-11-09
err0
errOAAI
errGabriele Accarino; Davide Donno; Francesco Immorlano; Donatello Elia; Giovanni Aloisio
errShare
errSave
errShare
errSave
researcher View more