Jagged-time-step technique improving convergence order of Fernandez's Explicit Robin-Neumann scheme for the coupling of incompressible fluid with thin-walled structure

09/22/2020
by   Yiyi Huang, et al.
0

Inspired by Rybak's multiple-time-step technique, jagged-time-step technique is proposed and applied to Fernandez's Explicit Robin-Neumann scheme. For some instances, numerical experiments demonstrate higher convergence orders and accuracy with lower computation cost as time and space get refined.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 5

03/01/2020

On energy stable, maximum-principle preserving, second order BDF scheme with variable steps for the Allen-Cahn equation

In this work, we investigate the two-step backward differentiation formu...
12/29/2019

Approximating intractable short ratemodel distribution with neural network

We propose an algorithm which predicts each subsequent time step relativ...
04/25/2017

Tapping the sensorimotor trajectory

In this paper, we propose the concept of sensorimotor tappings, a new gr...
05/27/2021

High-Order Multirate Explicit Time-Stepping Schemes for the Baroclinic-Barotropic Split Dynamics in Primitive Equations

In order to treat the multiple time scales of ocean dynamics in an effic...
02/20/2022

Adomian Decomposition Based Numerical Scheme for Flow Simulations

Time efficiency is one of the more critical concerns in computational fl...
08/09/2021

Damping perturbation based time integration asymptotic method for structural dynamics

The light damping hypothesis is usually assumed in structural dynamics s...
01/18/2021

High order efficient algorithm for computation of MHD flow ensembles

In this paper, we propose, analyze, and test a new fully discrete, effic...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.