University of Minnesota M.S. thesis. May 2010. Major: Aerospace Engineering and Mechanics. Advisor: Dr. Thomas Schwartzentruber. 1 computer file (PDF); vii, 47 pages. Ill. (some col.)Adaptive mesh refinement (AMR) and cut-cell algorithms were developed for a 3-level Cartesian mesh based Direct Simulation Monte Carlo (DSMC) implementation. The simple and efficient AMR algorithm adapts the cell size to the local mean free path of the flow field. Variable time step technique was implemented together with the AMR algorithm to set a time step consistent with the local mean collision time. The control of simulation particles through the use of variable time step was also illustrated. The cut-cell method decouples the flow field Cartesian me...
A parallel adaptive mesh refinement (AMR) algorithm is described for predicting tur-bulent non-premi...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76683/1/AIAA-2007-613-871.pd
Summarization: When the conditions of the flow are rarefied and hypersonic, a more suitable alternat...
Key strategies used in the development of a scalable, three-dimensional direct simulation Monte Carl...
ABSTRACT. The implementation of an adaptive mesh embedding (h-reflnement) schemes using unstructured...
The extreme conditions experienced in hypersonic flight can be difficult to reproduce in ground test...
The implementation of a modular particle-continuum (MPC) numerical method is presented which solves ...
The design of an efficient Thermal Protection System (TPS) for a hypersonic vehicle will often requi...
A new Cartesian implementation of the direct simulation Monte Carlo (DSMC) method, named the hyperso...
Adequate resolution of the flow field is vital to ensure that simulations are sufficiently spatially...
Hypersonic vehicles traveling at high altitudes experience conditions ranging from rarefied to conti...
AbstractIn this paper a parallel adaptive mesh refinement for LES simulation of turbulent flows is p...
Direct Simulation Monte Carlo (DSMC) is a widely applied numerical technique to simulate rarefied ga...
The extreme conditions experienced in hypersonic flight can be difficult to reproduce in ground test...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90728/1/AIAA-2011-632-932.pd
A parallel adaptive mesh refinement (AMR) algorithm is described for predicting tur-bulent non-premi...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76683/1/AIAA-2007-613-871.pd
Summarization: When the conditions of the flow are rarefied and hypersonic, a more suitable alternat...
Key strategies used in the development of a scalable, three-dimensional direct simulation Monte Carl...
ABSTRACT. The implementation of an adaptive mesh embedding (h-reflnement) schemes using unstructured...
The extreme conditions experienced in hypersonic flight can be difficult to reproduce in ground test...
The implementation of a modular particle-continuum (MPC) numerical method is presented which solves ...
The design of an efficient Thermal Protection System (TPS) for a hypersonic vehicle will often requi...
A new Cartesian implementation of the direct simulation Monte Carlo (DSMC) method, named the hyperso...
Adequate resolution of the flow field is vital to ensure that simulations are sufficiently spatially...
Hypersonic vehicles traveling at high altitudes experience conditions ranging from rarefied to conti...
AbstractIn this paper a parallel adaptive mesh refinement for LES simulation of turbulent flows is p...
Direct Simulation Monte Carlo (DSMC) is a widely applied numerical technique to simulate rarefied ga...
The extreme conditions experienced in hypersonic flight can be difficult to reproduce in ground test...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90728/1/AIAA-2011-632-932.pd
A parallel adaptive mesh refinement (AMR) algorithm is described for predicting tur-bulent non-premi...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76683/1/AIAA-2007-613-871.pd
Summarization: When the conditions of the flow are rarefied and hypersonic, a more suitable alternat...