Presentations - 2019

Welcome and Introductions

• G. Iaccarino

Session I – Turbulent and Transitional Flow Modeling

• Introduction
  Parviz Moin
• Wall-modeled LES of aircraft at angle of attack
  S.T. Bose, P. Moin, G. I. Park
• Wall-modeled LES of non-equilibrium turbulent boundary layers.
  M. Cho, A. Lozano-Durán, G. I. Park and P. Moin
• Dynamic slip wall models for LES
  K. Griffin, S. Bose, A. Lozano-Durán, P. Moin
• DNS-aided explicitly filtered LES of turbulent channel flows
  A. Lozano-Durán, H. Bae
• Separation delay by optimal disturbances
  M. Karp, M. J. P. Hack
• Variational Multiscale SGS Modeling for LES using High-Order Discontinuous Galerkin
  K. Bando, F. Naddei, M. de la Llave Plata, M. Ihme
• Eigenspace-based Sensitivity Analysis of Model-Form Uncertainty in Subgrid-scale Turbulence Models
  L. Jofre, S. Domino, G. Iaccarino
• On the convergence of statistics in simulations of stationary turbulent flow
  Y. Shirian, A. Mani

Session II – High Speed Flow Modeling

• Introduction
  Sanjiva Lele
• LES of shock-induced aerodynamic heating in hypersonic boundary layers
  L. Fu, M. Karp, S. T. Bose, P. Moin, J. Urzay
• A computational framework for stability analysis of hypersonic flow on a cone
  T. Flint, M. J. P. Hack, P. Moin
• Analysis of shock-induced variable density turbulence
  M. L. Wong, S. Lele
• Simulations of Supersonic Jet Screech
  G. Wu , S. Lele

Session III – Two-phase Flows

• Introduction
  Ali Mani
• Formation, dynamics and subgrid-scale modeling of bubbles in breaking waves.
  W. H. R. Chan, M. S. Dodd, P. L. Johnson, J. Urzay and P. Moin
• Towards subgrid scale modeling for primary atomization and sprays
  H. Hwang, M. J. P. Hack, P. Moin
• A conservative diffuse-interface method for the simulation of compressible two-phase flows with turbulence and acoustics
  S. S. Jain, A. Mani and P. Moin
• Characterizing polydispersity in counterflow spray flames
  P. Govindaraju and M. Ihme

Session IV – Particle-Laden Flows

• Introduction
  Gianluca Iaccarino
• Modeling for particle-particle collisions with a reduced number of computational particles in wall-bounded turbulent flows
  P. L. Johnson and P. Moin
• Measurements in Turbulent Particle Laden Flow Subject to Radiation
  J. Hoon Kim, A. Banko, L. Villafane, C. Elkins, J. Eaton
• Soleil-X : Turbulence, Particles, and Radiation in the Regent Programming Language
  H. Torres, M. Papadakis, A. Aiken, G. Iaccarino
• A Novel Approach for Separation of Inertial Particles
  K. Liu and A. Mani
• Exploring Optimization of Particle-based Solar Receiver
  J. West and S. Lele

Session V – Experiments & Simulations in Complex Flows

• Introduction
  John Eaton
• Magnetic Resonance Velocimetry for Bioprosthetic Heart Valves
  N. Schiavone, C. Elkins, J. Eaton, A. Marsden
• Wind Farm Power Optimization Using Utility Scale Operational Data
  M. Howland, S. Lele, J. Dabiri
• Optimization and CFD in Hemodynamics
  A. Verma, A. Marsden
• Scale Dependence of Flow Structures in Electroconvection
  K. M. Wang and A. Mani
• Blowing Ratio Effects on an Inclined Jet in Crossflow
  I. E. Gunady, A. Banko, C. Elkins, J. Eaton
• Fabrication and testing of tailored porous-matrix burners enabled by additive manufacturing
  S. Sobhani, P. Muhunthan, D. Mohaddes, E. Boigne

CTR Summer Program 2018

• Professor Parviz Moin

Session VI (Special Session) – Future of Computing

• What is the potential of high-order methods for predicting turbulent combustion at highly turbulent conditions
  M. Ihme
• Data, Turbulence and Everything Else
  G. Iaccarino
• High Fidelity Computing on GPUs
  S. Bose

Session VII – Data Science

• Introduction
  Eric Darve
• Machine Learning to Improve RANS Predictions of 3D Separated Flows
  D. Ching, A. Banko, J. Eaton
• Generalization of Machine Learning Models for Turbulent Mixing
  P. Milani, J. Ling, J. Eaton
• Anomaly Detection using Generative Adversarial Network
  Z. Yang and E. Darve
• Can Neural Networks Predict the Flow around Blunt Bodies?
  A. Kashefi, A. Mishra, G. Iaccarino
• Data-Driven Physical Inquiry: Discovering Relevant Dimensionless Numbers with Physics-Constrained Machine Learning
  Z. del Rosario, A. Banko, J. Horwitz, G. Iaccarino

Session VIII – Numerical Methods

• Introduction
  Matthias Ihme
• Heat Transfer in Wall-bounded Flows at Transcritical Conditions
  J. Guo and M. Ihme
• Fast Linear Solvers for Seismic Modeling in Reservoir Simulations
  L. Cambier and E. Darve
• Linear Solvers with Regent
  S. Yamajala, E. Slaughter, A. Heirich, E. Darve
• A Novel Strategy for Fluid-Structure Interactions
  J. Liu and A. Marsden
• An Euler-Lagrange formulation for simulating high-speed dusty flows using discontinuous Galerkin schemes
  E. Ching, S. Brill, Y. Lv, M. Ihme

Session IX – Uncertainty Quantification

• Introduction
  Alison Marsden
• UQ in Cardiovascular Modeling
  J. Seo, D. Schiavazzi, A. Marsden
• Multi-fidelity UQ Strategies
  C. Fleeter, D. Schiavazzi, A. Marsden
• UQ for Large Scale Multiphysics Simulations
  L. Jofre and G. Iaccarino
• Reliability and Certification in Aerospace Applications
  Z. del Rosario, R. Fenrich, G. Iaccarino

Session X – Faculty Panel “Digital Twins”

• Eric Darve, John Dabiri and Alison Marsden