CTR Summer Program Tutorial Series 2022
Interface-resolved simulations of multiphase turbulent flows: Achievements and new challenges
Date and Time: Wednesday, August 10, 2022 - 16:00 to 17:30
Location: Bishop Auditorium (1st Floor) 518 Memorial Way Stanford, CA 94305
Event Sponsor: Parviz Moin, Director of Center for Turbulence Research
Speaker(s): Luca Brandt
In this tutorial, we offer an overview on the achievements and challenges of interface-resolved simulations of multiphase turbulent flows. The focus will therefore be on micro- and meso-scale simulations, needed to provide fundamental physical insights as well as quantitative information to large-scale models, e.g. LES and two-fluid Continuum models. We will first consider the case of rigid particles, which has probably seen the most significant achievements over the last decade, and where we believe resolved numerical simulations are a well-established tool. Secondly, we will consider two-fluid systems, whose dynamics is mainly governed by interfacial forces. In this case, different numerical tools have been successfully used to tackle different flow problems and we see the possibility to gain new fundamental physical understanding at reach. Finally we will consider flows with heat and mass transfer: novel accurate and efficient numerical algorithms are being developed and more research is needed to establish those as reliable research tools in a field where laboratory experiments are more difficult and provide more limited information. A number of recent studies will be presented to highlight the recent advances while still presenting the main challenges we see ahead of us.
Presentation: Video
The transition to hydrogen: simulations of the future engines and of safety scenarios
Date and Time: Friday, August 5, 2022 - 16:00 to 17:30
Location: Bishop Auditorium (1st Floor) 518 Memorial Way Stanford, CA 94305
Event Sponsor: Parviz Moin, Director of Center for Turbulence Research
Speaker(s): Thierry Poinsot
This talk will present future energy policies and the place of hydrogen. The introduction of hydrogen in aerospace propulsion will be specially discussed as well as the implications of hydrogen use for safety issues. Finally the numerical simulations of hydrogen combustion will be discussed.
Presentation: Video
Bio:
CERFACS and IMFT, Toulouse, France
Resolvent analysis of turbulent flows
Date and Time: Friday, July 29, 2022 - 14:00 to 15:30
Location: Bishop Auditorium (1st Floor) 518 Memorial Way Stanford, CA 94305
Event Sponsor: Parviz Moin, Director of Center for Turbulence Research
Speaker(s): Beverley McKeon
The resolvent framework provides a simple, but rigorous, approach by which to analyze linear amplification in turbulent flows and frame nonlinear turbulent closures. Analysis of the resolvent identifies the linear amplification associated with harmonic forcing of the linearized Navier-Stokes equations, which give rise to a non-normal operator. By associating this forcing with the quadratic nonlinearity, the full turbulence field can be expressed as a linear combination of weighted, nonlinearly interacting modes. After a brief review of the basic approach, recent developments and the connection to data-driven techniques, some examples of the use of resolvent analysis for discovery and modeling will be presented.
Presentation: Video
Machine learning for turbulence modeling
Date and Time: Friday, July 22, 2022 - 16:00 to 17:30
Location: Bishop Auditorium (1st Floor) 518 Memorial Way Stanford, CA 94305
Event Sponsor: Parviz Moin, Director of Center for Turbulence Research
Speaker(s): Adrián Lozano-Durán (MIT)
In this tutorial, we offer an overview of different machine learning (ML) methodologies for turbulence modeling. The main focus is on RANS and LES but other reduced-order models are also discussed. First, the distinction between models and methods is highlighted. The different ML approaches are introduced according to three classifications: i) the level of modeling form of closure terms, ii) machine learning methodology and, iii) the neural network architecture. A selected number of works are used to illustrate the ML approaches. Finally, we address the question: What can we do with machine-learning models for turbulence that we couldn’t do before?
Presentation: Video
Hypersonic aerodynamics and propulsion
Date and Time: Friday, June 29, 2018 - 16:00
Location: Bishop Auditorium 518 Memorial Way Stanford
Event Sponsor: Parviz Moin, Director of Center for Turbulence Research
Speaker(s): Javier Urzay
TBA