Abstract
dc:description.abstract<p>Graphic processing units (GPUs) are powerful graphics engines featuring high levels of parallelism and extreme memory bandwidth, which constitute a powerful computing platform to solve complex problems involving chemically reacting flows. In the present study, computer programs for combustion simulations with detailed chemical kinetic mechanisms were compiled in the Compute Unified Device Architecture (CUDA) language for NVIDIA GPU architecture. Ignition processes were simulated under constant pressure and constant volume conditions using an explicit 4<sup>th</sup> order Runge-Kutta algorithm for time integration. Sufficiently small time steps were identified with time scale analysis to ensure the integration stability. The program was validated with the results from simulations with CPUs using detailed mechanisms of various fuels including H<sub>2</sub>, and CH<sub>4</sub>. It was found that the GPU-accelerated simulations can be approximately 10-20 times faster than those on CPUs for solving identical problems. Furthermore, the newly implemented GPU solver for detailed chemical kinetics was employed for quasi 2-D simulations.</p>
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Discipline thesis:degree_discipline
- Mechanical Engineering
- Year dc:date.available
- 2012
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wang, Mingjie
- Contributors dc:contributor
-
- Chih-Jen (Jackie) Sung; Mandhapati P. Raju
- Tianfeng Lu
Subjects
dc:subject × 3Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.lib.uconn.edu/gs_theses/226
- OAI identifier oai:identifier
- oai:digitalcommons.lib.uconn.edu:gs_theses-1258