Home /  Applied fluids: Developing robust numerical algorithms and techniques for fluid mixing

Seminar

Applied fluids: Developing robust numerical algorithms and techniques for fluid mixing April 02, 2021 (08:30 AM PDT - 09:30 AM PDT)
Parent Program:
Location: SLMath: Online/Virtual
Speaker(s) Pooja Rao (State University of New York, Stony Brook)
Description

To participate in this seminar, please register here: https://www.msri.org/seminars/25657

 

 

Keywords and Mathematics Subject Classification (MSC)
Primary Mathematics Subject Classification No Primary AMS MSC
Secondary Mathematics Subject Classification No Secondary AMS MSC
Video

Developing Robust Numerical Algorithms and Techniques for Fluid Mixing

Abstract/Media

To participate in this seminar, please register here: https://www.msri.org/seminars/25657

Abstract:

Fluid mixing occurs in a variety of complex flow situations important in astrophysical and engineering applications.  Due to the complex nature of these flows, numerical simulations are key to understanding the underlying physics and gaining necessary insight for our particular application.  Therefore it is important to have robust numerical algorithms that handle these complex interactions.  With a focus on one such class of fluid mixing problems, those that arise from hydrodynamic instabilities, we discuss the Front-Tracking method, a numerical approach that has had success modeling the mixing and growth of these instabilities.  We suggest some general strategies for success and explore the use of the Front-Tracking method in specific problems of interest.

 

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Developing Robust Numerical Algorithms and Techniques for Fluid Mixing