Conference proceeding
Coupling of Micro-Scale and Macro-Scale Eulerian-Lagrangian Models for the Computation of Shocked Particle-Laden Flows
Volume 7A: Fluids Engineering Systems and Technologies, Vol.7
ASME 2013 International Mechanical Engineering Congress and Exposition, San Diego, California, USA, Nov. 15 - 21, 2013
11/15/2013
DOI: 10.1115/IMECE2013-62521
Abstract
The accuracy and efficiency of several algorithms that couple output from full resolution micro-scale Direct Numerical Simulation computations to input for macro-scale Eulerian-Lagrangian (EL) methods for the computation of high-speed, particle-laden flow are assessed. A Stochastic Collocation method, a Gaussian Radial Basis Function (RBF) Artificial Neural Network (ANN), and an improved RBF-ANN are compared for the fitting of an analytical drag coefficient formula that depends on Mach number and Reynolds number. The improved RBF-ANN uses a clustering algorithm to enhance conditioning of interpolation matrices. The fitted drag coefficient mantle, used to trace point particles in macro-scale computations, is in excellent agreement with the analytical drag formula. The SC method requires fewer micro-scale realizations to obtain comparable accuracy of the drag coefficient. The Gaussian RBF does not converge monotonically, while the improved RBF-ANN converges algebraically and has the potential to provide error estimates.
Details
- Title: Subtitle
- Coupling of Micro-Scale and Macro-Scale Eulerian-Lagrangian Models for the Computation of Shocked Particle-Laden Flows
- Creators
- Sean Davis - San Diego State UniversityOishik Sen - University of IowaGustaaf Jacobs - San Diego State UniversityH. S Udaykumar - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Volume 7A: Fluids Engineering Systems and Technologies, Vol.7
- Conference
- ASME 2013 International Mechanical Engineering Congress and Exposition, San Diego, California, USA, Nov. 15 - 21, 2013
- DOI
- 10.1115/IMECE2013-62521
- Publisher
- American Society of Mechanical Engineers
- Language
- English
- Date published
- 11/15/2013
- Academic Unit
- IIHR--Hydroscience and Engineering; Injury Prevention Research Center; Mechanical Engineering
- Record Identifier
- 9984196528402771
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