A parallel adaptive-mesh refinement scheme for predicting laminar diffusion flames.
Published: 2004
Language: eng
Number of pages: 64
Description: A parallel block-based adaptive mesh refinement (AMR) scheme is described and applied to the prediction of the structure of non-premixed axisymmetric methane-air laminar diffusion flames. The parallel solution-adaptive algorithm solves the system of partial-differential equations governing two-dimensional axisymmetric compressible laminar flows for reactive thermally perfect gaseous mixtures. A finite-volume spatial discretization procedure is used to solve the equations on a body-fitted multi-block quadrilateral mesh. Limited piecewise linear solution reconstruction and Riemann solver based flux functions are used to evaluate the inviscid fluxes and a centrally weighted second-order discretization procedure is adopted for determining the viscous fluxes. A flexible block-based hierarchical data structure facilitates mesh adaptation, and enables efficient and scalable implementations of the algorithm on multi-processor architectures via domain decomposition. Numerical results are discussed for a co-flow laminar diffusion flame demonstrating the validity of the parallel AMR approach and the ability of the mesh adaption scheme to resolve fine-scale features of the solution.
Notes: Adviser:  C. P. T. Groth.

Thesis (M.A.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 42-06, page: 2256.

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