PIMS - SFU Distinguished Speaker in Applied & Computational Mathematics: Ann Almgren
Topic
Low Mach Number Modeling
Speakers
Details
Low Mach number equation sets approximate the equations of motion of a compressible fluid by filtering out the sound waves, which allows the system to evolve on the advective rather than the acoustic time scale. Depending on the degree of approximation, low Mach number models retain some subset of possible compressible effects. In this talk I will discuss low Mach number models for reacting and stratified flows arising in combustion, astrophysics and atmospheric modeling.
Additional Information
Friday, November 8, 2019
Location: Big Data Hub Presentation Studio (ASB 10900)
Reception: 3:00 pm
Lecture: 3:30 pm
Ann Almgren, Lawrence Berkeley National Laboratory
Ann Almgren, Lawrence Berkeley National Laboratory
This is a Past Event
Event Type
Scientific, Distinguished Lecture
Date
November 8, 2019
Time
-
Location