scispace - formally typeset
J

Jin Wang

Researcher at Old Dominion University

Publications -  5
Citations -  572

Jin Wang is an academic researcher from Old Dominion University. The author has contributed to research in topics: Immersed boundary method & Burgers' equation. The author has an hindex of 3, co-authored 5 publications receiving 486 citations. Previous affiliations of Jin Wang include University of Tennessee & University of Tennessee at Chattanooga.

Papers
More filters
Journal ArticleDOI

Numerical Methods for Fluid-Structure Interaction — A Review

TL;DR: This article reviews representative numeri- cal methods based on conforming and non-conforming meshes that are currently avail- able for computing fluid-structure interaction problems, with an emphasis on some of the recent developments in the field.
Journal ArticleDOI

New numerical methods for Burgers' equation based on semi-Lagrangian and modified equation approaches

TL;DR: In this paper, the authors developed a class of semi-Lagrangian finite difference schemes which are derived by a new algorithm based on the modified equation technique; and they applied those methods to the Burgers' equation.
Journal ArticleDOI

Communicating Wave Energy: An Active Learning Experience for Students.

TL;DR: In this article, a virtual reality system that combines both hardware and software is developed in this project to simulate the buoy-wave interaction, allowing students to conduct a number of hands-on activities.
Journal ArticleDOI

Computing Fluid-Structure Interaction by the Partitioned Approach with Direct Forcing

TL;DR: A new partitioned approach to compute fluid-structure interaction (FSI) is proposed by extending the original direct-forcing technique and integrating it with the immersed boundary method, capable of handling FSI problems with sophisticated structures described by detailed constitutive laws.
Journal ArticleDOI

Convergence analysis of an iterative algorithm for a class of constrained dynamic problems

TL;DR: This paper presents an iterative algorithm that naturally decouples the computation of the two sub-systems and that ensures an accurate and efficient solution procedure.