Exploratory physics-based turbulent flow modification using distributed computing architectures

Turbulent flows and their properties are of great interest in science and engineering. We propose and study the effects of flow modification strategies in three-dimensional incompressible and compressible turbulent flows. For incompressible flows, we present a novel physics-based control design for the selective modification of conserved flow quantities. In particular, we automatically identify forcing structures that selectively alter the energy and helicity of the flow, and the scales at which they are applied. We find that selective helicity modification may excite certain Kelvin (twist) modes within individual vortex tubes. Further, we present python bindings to a supersonic GPU accelerated turbulent shock boundary layer solver in an effort to leverage application of different feedback control techniques in future work. To orchestrate the execution of the hundreds of simulations required in this thesis, we present a distributed computing platform to allow for the scheduling of jobs across a cluster of computers without limitations on shared-memory or shared-filesystems.

Level thesis:degree_level

Master's Degree

Year dc:date.issued

2023

Author dc:creator

• Karlik, Brooks

Advisor dc:contributor.advisor

• Nair, Aditya G

Committee members dc:contributor.committeemember

• White, Thomas
• van Breugel, Floris
• Aureli, Matteo

• computing
• control
• shock boundary layer interaction

Statement dc:rights

• Creative Commons Attribution-NonCommercial 4.0 United States

Handle dc:identifier.uri

http://hdl.handle.net/11714/8522

OAI identifier oai:identifier

oai:scholarwolf.unr.edu:11714/8522