shocks.stanford.edu

Stanford SciDAC project

We propose to develop a new capability based on high-order high-resolution schemes to simulate shock-turbulence interactions and multi-material mixing in planar and spherical geometrical configurations and study the turbulent RT and RM mixing. These problems are of relevance to ICF capsule implosion and supernovae explosions.The project also involves the development of novel sub-grid models for shock-turbulence interaction and multi-material mixing and its validation using the DNS data. more.

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Stanford SciDAC project | shocks.stanford.edu Reviews

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We propose to develop a new capability based on high-order high-resolution schemes to simulate shock-turbulence interactions and multi-material mixing in planar and spherical geometrical configurations and study the turbulent RT and RM mixing. These problems are of relevance to ICF capsule implosion and supernovae explosions.The project also involves the development of novel sub-grid models for shock-turbulence interaction and multi-material mixing and its validation using the DNS data. more.

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2 stanford university

3 about the project

4 research summary

5 personnel

6 gallery

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8 numerical methods

9 shock turbulence interaction

10 multi material mixing

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Stanford SciDAC project | shocks.stanford.edu Reviews

https://shocks.stanford.edu

We propose to develop a new capability based on high-order high-resolution schemes to simulate shock-turbulence interactions and multi-material mixing in planar and spherical geometrical configurations and study the turbulent RT and RM mixing. These problems are of relevance to ICF capsule implosion and supernovae explosions.The project also involves the development of novel sub-grid models for shock-turbulence interaction and multi-material mixing and its validation using the DNS data. more.

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shocks.stanford.edu

1

Stanford SciDAC project - About the project

http://shocks.stanford.edu/about.html

Science Application: Simulations of Turbulent Flows with Strong Shocks and Density Variations. Participating Institutions and Co-Investigators:. Stanford University: Sanjiva Lele. Lawrence Livermore National Laboratory: Andrew Cook, William Cabot, Bjorn Sjögreen. NASA Ames Research Center: H. C. Yee. University of California, Los Angeles: Xiaolin Zhong. US Department of Energy. Advanced Scientific Computing Research. And the National Nuclear Security Agency. Five years (started in Summer 2006).

2

Stanford SciDAC project - Links

http://shocks.stanford.edu/links.html

Scientific Discovery through Advanced Computing. National Nuclear Security Administration. Performance Engineering Research Institute. SciDAC Institute focused on delivering petascale performance to complex scientific applications running on Leadership Class computing systems. Center for Turbulence Research. Flow Physics and Computational Engineering. High Performance Computing Center.

3

Stanford SciDAC project - Shock-turbulence interaction

http://shocks.stanford.edu/shock_turbulence.html

CTR Annual Research Briefs 2007). Figure 1. Snapshot of shock/turbulence interaction at M=2, Mt=0.15, Re l = 40. The flow is from left to right, with the shock visualized by transparent isosurfaces of compression. Vortex cores are visualized by isosurfaces of the second invariant of the velocity gradient tensor, colored by the vorticity magnitude. Figure 3. Streamwise (thick) and transverse (thin) vorticityfor canonical shock/turbulence interaction. Variance of Reynolds stress and vorticity for (...Figur...

4

Stanford SciDAC project - Personnel

http://shocks.stanford.edu/local.html

Next meeting: Date TBD (Week of Aug. 11-15 or 18-22), Bhaskaran will present his research. Highly coupled stiff source terms.

5

Stanford SciDAC project - Numerical methods

http://shocks.stanford.edu/numerical_methods.html

The first milestone of the present project is a comparison between a set of promising methods on a carefully chosen suite of benchmark problems. We have divided this item into two sub-items, by first considering single-fluid cases only. The chosen single-fluid problems represent the key physics with increasing complexity:. 1 Taylor-Green vortex: tests the accuracy and numerical stability on broadband turbulence without shocks. Tuning for each problem. It is important to realize that most methods can ...

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