University of Toronto
A Parallel Solution-Adaptive Method for Turbulent Non-Premixed Combusting Flows
Abstract
dc:description.abstractA parallel adaptive mesh refinement (AMR) algorithm is proposed and applied to the predictions of turbulent non-premixed compressible combusting flows for both two and three space dimensions. The parallel solution-adaptive algorithm solves the system of partial-differential equations governing turbulent compressible flows of reactive thermally perfect gaseous mixtures using a fully coupled finite-volume formulation on body-fitted multi-block quadrilateral meshes and hexahedral meshes. The compressible formulation adopted herein can readily accommodate large density variations and thermo-acoustic phenomena. A preconditioned multigrid algorithm is used to obtain the solution on highly stretched meshes in a more efficient manner. A flexible block-based hierarchical data structure is used to maintain the connectivity of the solution blocks in the multi-block mesh and to facilitate automatic solution-directed mesh adaptation according to physics-based refinement criteria. For calculations of near-wall turbulence, an automatic near-wall treatment readily accommodates situations during adaptive mesh refinement where the mesh resolution may not be sufficient for directly calculating near-wall turbulence using the low-Reynolds-number formulation. Numerical results for turbulent diffusion flames, including cold- and hot-flow predictions for a bluff-body burner, are described and compared to available experimental data. The numerical results demonstrate the validity and potential of the parallel AMR approach for predicting fine-scale features of complex turbulent non-premixed flames.
Degree
thesis:*- Department dc:contributor.department
- Aerospace Science and Engineering
- Year dc:date.issued
- 2008
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Gao, Xinfeng
- Advisor dc:contributor.advisor
-
- Groth, Clinton
Subjects
dc:subject × 4Rights
dc:rights- Statement dc:rights
-
- Attribution-NonCommercial-NoDerivs 2.5 Canada
- Licence dc:rights.uri
- Language dc:language.iso
- en_ca
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1807/94293
- OAI identifier oai:identifier
- oai:utoronto.scholaris.ca:1807/94293