Authors

Brian Fix

Type

Text

Type

Dissertation

Advisor

Xiangmin Jiao | Xiaolin Li. James Glimm. | Foluso Ladeinde.

Date

2011-05-01

Keywords

AMR, CFD, front tracking | Applied Mathematics

Department

Department of Applied Mathematics and Statistics

Language

en_US

Source

This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.

Identifier

http://hdl.handle.net/11401/71603

Publisher

The Graduate School, Stony Brook University: Stony Brook, NY.

Format

application/pdf

Abstract

Multi component fluid instability problems suffer artificial mass diffusion when numerical methods do not correct for numerical dissipation at an interface. Front tracking provides a sharp interface between components but can be computationally intensive. Adaptive mesh refinement (AMR) is a method of increasing resolution only where needed, which can be more computationally efficient. Under certain conditions AMR can achieve a high resolution numerical solution that would be otherwise unattainable on a uniform grid. In this thesis, we combine front tracking and AMR and apply the new algorithm to fluid mixing problems. A series of timed simulations show that this algorithm can be faster then uniform grid front tracking. The front tracked interface is less diffuse than an AMR calculation at equivalent resolution without front tracking. These results show that combining AMR and front tracking is feasible and the strengths of both methods are retained. The combined algorithm assumes front information resides only at the finest level, simplifying the code and easing the way for future modifications.

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