Title:	Particle laden turbulent flows
DNr:	SNIC 2019/7-93
Project Type:	SNIC Small Compute
Principal Investigator:	Johan Revstedt <johan.revstedt@energy.lth.se>
Affiliation:	Lunds universitet
Duration:	2020-01-01 – 2021-01-01
Classification:	20306
Homepage:	http://www.fm.energy.lth.se
Keywords:

Abstract

Simulating turbulent flows with large particles, i.e. particles much larger that the turbulent scales, requires that the particles are resolved. One way of doing this is by using immersed boundary methods in which the particle shape is replaced by source terms in the momentum equations. We have for several years been studying pipe flows containing large particles (particle sizes up to 1/3 of the pipe diameter) in laminar flows using our in-house FORTRAN based code. The aim of this application is to explore the possibility to increase the Reynolds number into the turbulent regime. This will increase the resolution requirement and require larger computational resource in terms of number of cores. Hence, the aim is to investigate how our code performs for larger number of cores both in terms of accuracy of the results and computational efficiency as well as how it performs on this particular resource. We aim for running with a Reynolds number of at least 20000 and a particle mass fraction of up to 20% using large eddy simulation (LES).