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Terascale High-Fidelity Simulations of Turbulent Combustion
with Detailed Chemistry (TSTC)
The objective of this poster presentation is to provide an
overview of the DOE SciDAC Program entitled “Terascale
High-Fidelity Simulations of Turbulent Combustion with Detailed
Chemistry (TSTC).” This is a multi-university
collaborative program on high-fidelity direct numerical
simulations of turbulent reacting flows with detailed
chemistry. Recognizing the complexities in development
of various code components and their integration, a consortium
of researchers with interdisciplinary skills from multiple
institutions (University of Michigan, University of Wisconsin,
University of Maryland, Sandia National Laboratories) are
undertaking the tasks to re-design and enhance the capabilities
of the DNS code, S3D, in terms of sophistication and versatility
of the numerical algorithms and physical modules. The
specific objectives of the project include:
- To develop and complete the high-fidelity numerical
algorithms under the component-based and parallel computing
platform. This includes high-order, implicit/explicit
(IMEX) stiff time integrators based on additive Runge-Kutta,
and the immersed boundary method (IBM) for solid body
representation associated with high-order interpolation schemes.
- To expand and upgrade the physical submodels to describe
the underlying mechanisms with great details. The existing modules
of radiation (discrete ordinate/discrete transfer methods), soot
(semi-empirical/method of moments), and spray evaporation models
(Lagrangian particle-in-cell model) will be further enhanced to
allow direct comparisons against experimental studies.
- To demonstrate the capability of the terascale DNS code in
investigating fundamental science issues by several pilot
simulations of canonical flames observed in turbulent combustion.
The pilot configurations proposed for TSTC Phase II include
partially-premixed turbulent counterflow and jet flames, and
turbulent spray jet evaporation and ignition problems. The S3D
DNS code will further allow access to various post-processing
functionalities for effective data-mining and visualization
that are being developed under BES Chemical Sciences core
program.
Some recent progress and accomplishments made under the TSTC
Project will be presented.
1University of Michigan, Department of Mechanical
Engineering, Ann Arbor, MI 48109
2University of Wisconsin-Madison, Department of
Mechanical Engineering, Madison, WI 53706
3University of Maryland, Department of Fire
Protection Engineering, College Park, MD 20742
4Sandia National Laboratories, Combustion
Research Facility, Livermore, CA 94551
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