PIMS - SFU Distinguished Speaker in Applied & Computational Mathematics: Ann Almgren

  • Date: 11/08/2019
  • Time: 15:30
Ann Almgren, Lawrence Berkeley National Laboratory

Simon Fraser University


Low Mach Number Modeling


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.

Other Information: 

Friday, November 8, 2019
Location: Big Data Hub Presentation Studio (ASB 10900)
Reception: 3:00 pm
Lecture: 3:30 pm