Technical Papers
Jul 6, 2015

Modeling of Free Surface Flows Using Improved Material Point Method and Dynamic Adaptive Mesh Refinement

Publication: Journal of Engineering Mechanics
Volume 142, Issue 2

Abstract

The study uses the material point method (MPM) and dynamic adaptive mesh refinement (AMR) technique to simulate incompressible free surface flows. The MPM can be regarded as a quasi-meshless method in which the background grid acts like a scratch pad while the material point (hereafter referred to as particle) motion overlies it. The states of the particles are updated through the solutions on the background grid. The artificial compressibility coefficient is employed to treat incompressible flows as slightly compressible flows within the MPM framework. Boundary conditions, such as free surfaces and reflective walls (both slip and no-slip conditions), are implemented and tested using the ghost-cell method. A generalized far-field characteristic boundary for wave propagation simulation has been established. Typical water wave propagation and violent wave breaking involving discontinuous free surfaces are simulated as well as compared to the arbitrary Lagrangian-Eulerian (ALE) method. The results indicate that the improved material point method is a promising tool to simulate free surface flows.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 142Issue 2February 2016

History

Received: Oct 6, 2014
Accepted: Jun 1, 2015
Published online: Jul 6, 2015
Discussion open until: Dec 6, 2015
Published in print: Feb 1, 2016

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Authors

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Shaolin Mao [email protected]
Assistant Professor, Dept. of Mechanical Engineering, Univ. of Texas at El Paso, El Paso, TX 79968 (corresponding author). E-mail: [email protected]; [email protected]
Professor, Dept. of Civil and Environmental Engineering, Louisiana State Univ., Baton Rouge, LA 80703. E-mail: [email protected]
Professor, Dept. of Naval Architecture and Ocean Engineering, South China Univ. of Technology, Guangzhou 510641, P.R. China. E-mail: [email protected]
Zhigang Feng [email protected]
Assistant Professor, Dept. of Mechanical Engineering, Univ. of Texas at San Antonio, San Antonio, TX 78259. E-mail: [email protected]

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