interests | publications | notes
I am an assistant professor of Chemical Engineering at the University of Utah . My work is focused on developing models and codes for simulating low-Mach-number reacting flows on supercomputers. I am also interested in analytical and asymptotic methods for fluid flows and all things related.
Turbulence Generator
Check out our isotropic turbulence generator, featured in OpenFOAM and fully accessible via github and here turbulence.utah.edu where you can generate statistically correct turbulent structures for use in inflow boundary conditions, to seed initial conditions, and for noise generation etc…
Related Publications for this work:
Tony Saad, Derek Cline, Rob Stoll, and James C. Sutherland. “Scalable Tools for Generating Synthetic Isotropic Turbulence with Arbitrary Spectra”. ,http://dx.doi.org/10.2514/1.J055230 . (available online: Aug 25, 2016).
Saad, T., & Sutherland, J. C. (2016). Comment on “Diffusion by a random velocity field” [Phys. Fluids 13, 22 (1970)]. Physics of Fluids (1994-Present), 28(11), 119101. https://doi.org/10.1063/1.4968528 .
Austin Richards, Tony Saad, and James C. Sutherland. “A Fast Turbulence Generator using Graphics Processing Units”, 2018 Fluid Dynamics Conference, AIAA AVIATION Forum, (AIAA 2018-3559). https://doi.org/10.2514/6.2018-3559 .
Funding: University of Utah Department of Chemical Engineering
Dimensional Analysis App (BuckinghamPY)
We developed a very easy to use general dimensional analysis app available here: https://buckinghampi.tsaad.net/
Code is freely available on our github @ github.com/saadgroup
A YouTube video on how to use the app: https://youtu.be/WGoOQh2MPHI?si=gU7Q2F9nvv3FW_ZE
Karam, Mokbel, and Tony Saad. “BuckinghamPy: A Python software for dimensional analysis.” SoftwareX 16 (2021): 100851. (href: https://www.sciencedirect.com/science/article/pii/S2352711021001291)
Github: https://github.com/saadgroup/BuckinghamPy Funding: University of Utah, Department of Chemical Engineering
Maximum Entropy Reconstruction
A tool that uses the maximum entropy principle to reconstruct continuous functions and probability distributions from a finite set of known moments. Code can be found at our github.
Code: github.com/saadgroup
Saad, T., & Ruai, G. (2019). PyMaxEnt: A Python software for maximum entropy moment reconstruction. SoftwareX , 10 , 100353. https://doi.org/10.1016/j.softx.2019.100353
Contact Info
Tony Saad Assistant Professor Department of Chemical Engineering University of Utah email: tony.saad[at]utah.edu web: http://www.tonysaad.net YouTube: Professor Saad Explains
Research Interests
Low Mach reacting flows
Pressure projection methods
Theoretical and computational fluid dynamics
High performance hybrid computing (CPU, GPU, …)
Perturbation methods
Population balances
Lagrangian particle transport
Carbon capture, sequestration, and mineralization
Publications
Peer Reviewed
37015
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apa
50
desc
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International Journal of Parallel Programming ,
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AIAA Journal ,
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Physics of Fluids (1994-Present) ,
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AIAA Journal ,
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Annals of Nuclear Energy ,
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AIChE Journal ,
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Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences ,
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Eid, M., & Saad, T. (2024). Fast Projection Methods for Variable Density and low-Mach Reacting Flows. 77th Annual Meeting of the Division of Fluid Dynamics , Submitted .
Saad, T. , & Karam, M. (2023, November). The Theory of Fast Projection Methods for High-Fidelity Fast Solution of the Navier-Stokes Equations.
76th Annual Meeting of the Division of Fluid Dynamics . 76th Annual Meeting of the Division of Fluid Dynamics, Washington, DC.
https://meetings.aps.org/Meeting/DFD23/Session/A15.9
Saad, T. , & Sutherland, J. C. (2018). Case Studies in Using a DSL and Task Graphs for Portable Reacting Flow Simulations.
SIAM Conference on Computational Science and Engineering . SIAM Conference on Computational Science and Engineering.
url link to talk abstract if any
McConnell, J., Saad, T. , & Sutherland, J. C. (2017, April 23). Coupling an explicit lowMach projection scheme to various chemistry models and interphase source terms. 10th US National Combustion Meeting . 10th US National Combustion Meeting, Maryland.
Goshayeshi, B.,
Saad, T. , & Sutherland, J. C. (2017). Hybrid Computing In Large-Scale Multiphysics Simulation: Tabulated Properties and Particle-Cell Interpolations.
SIAM Conference on Computational Science and Engineering . SIAM Conference on Computational Science and Engineering.
url link to talk abstract if any
Saad, T. , & Sutherland, J. C. (2016, November). An Explicit Variable-Density Projection Method for Low-Mach Reacting Flows on Structured Uniform Grids. AIChE Annual Meeting .
Saad, T. , Bagusetty, A., & Sutherland, J. C. (2015, March). Wasatch: A CPU/GPU-Ready Multiphysics Code using a Domain Specific Language. SIAM Conference on Computational Science and Engineering .
Saad, T. , Earl, C., Bagusetty, A., Might, M., & Sutherland, J. C. (2015, March). Uintah/Wasatch: Addressing Multiphsyics Complexity in a High-Performance Computing Environment. SIAM Conference on Computational Science and Engineering .
Sutherland, J. C., Might, M., Earl, C., & Saad, T. (2014, February). Design Paradigms to Accommodate Architectural Uncertainty in Multiphysics Applications. SIAM Parallel Processing Conference .
Abboud, A. W., Saad, T. , Thornock, J., & Smith, S. T. (2013, November). Large Eddy Simulation of a Precipitate Flow With QMOM. AIChE Annual Meeting .
Schmidt, J., Berzins, M., Thornock, J., Saad, T. , & Sutherland, J. (2013, May). Large Scale Parallel Solution of Incompressible Flow Problems using Uintah and Hypre. International Symposium on Cluster, Cloud and Grid Computing .
Biglari, A., Saad, T. , & Sutherland, J. C. (2013). An Efficient and Explicit Pressure Projection Method for Reacting Flow Simulations. 8th National US Combustion Meeting , 1–14.
Biglari, A., Saad, T. , & Sutherland, J. C. (2013, April). A Time-Accurate Pressure Projection Method for Reacting Flows. SIAM Numerical Combustion Conference .
Abboud, A. W., Smith, S. T., Saad, T. , & Thornock, J. (2012, October). Modeling Precipitation Reactions in Turbulent Flow with QMOM Incorporated Into LES. AIChE Annual Meeting .
Earl, C. W., Robison, D., Saad, T. , Sutherland, J. C., & Might, M. (2012, May). Automated Algorithm Construction for Large Scale Computational Physics and Reacting Flow Simulations : Software Infrastructure. Parallel Computational Fluid Dynamics .
Abboud, A. W., Smith, S. T., Saad, T. , & Ring, T. A. (2011, October). A Study of Population Balance Modeling in a Large-Eddy Simulation with Carbonate Precipitation. AIChE Annual Meeting .
Sutherland, J. C., & Saad, T. (2011, October). A Novel Computational Framework for Reactive Flow and Multiphysics Simulations. AIChE Annual Meeting .
Saad, T. , Smith, S. T., Abboud, A. W., & Ring, T. A. (2011, October). On a Class of Analytical Solutions for the Population Balance Equation. AIChE Annual Meeting .
Robinson, D., Punati, N., Saad, T. , & Sutherland, J. C. (2011). A Novel Computational Approach for Multiphysics and Reactive Flow Simulations. Proceedings of the Combustion Institute .
Saad, T. , & Majdalani, J. (2011). Some Thoughts on Kelvin’s Minimum Energy Theorem. International Conference on Advanced Research and Applications in Mechanical Engineering .
Saad, T. , & Darwish, M. (2009). A High Scalability Parallel Algebraic Multigrid Solver. In Computational Fluid Dynamics 2006 (pp. 231–236).
Saad, T. , & Darwish, M. (2006). A high scalability parallel algebraic multigrid solver. European Conference on Computational Fluid Dynamics , 231–236.
Saad, T. (2005, May). Implementation and Performance Analysis of a Parallel Algebraic Multigrid Solver.
4th FEA Student Conference at the American University of Beirut .
http://www.tonysaad.net/docs/conference/Saad-2005-Implementation-and-Performance-Analysis-of-a-Parallel-Algebraic-Multigrid-Solver.pdf
The Theory of Fast Projection Methods for High-Fidelity Fast Solution of the Navier-Stokes Equations . (n.d.). Retrieved November 27, 2023, from
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=T0rEL0oAAAAJ&sortby=pubdate&citation_for_view=T0rEL0oAAAAJ:rO6llkc54NcC
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50
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Saad, T.
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Saad, T. (2010). Theoretical Models for Wall Injected Duct Flows . University of Tennessee.
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