Taraneh Sayadi

Prof. Taraneh Sayadi

Title of the Talk: Data-driven Modelling of High-fidelity Hypersonic Flow Simulations in Chemical Nonequilibrium

Conservatoire Nationale Arts et Métiers (le CNAM)
Chair of Scientific Computing

Link to Google Scholar DLES Invited Speakers

Summary of the DLES talk

Data-driven Modelling of High-fidelity Hypersonic Flow Simulations in Chemical Nonequilibrium

At very large Mach numbers, fluid flows are strongly influenced by non-equilibrium gas effects such as finite-rate chemical reactions or internal mode excitation arising from extreme temperatures. These effects have an order-one influence on quantities of interest, such as stability properties, transition, and heating, and must be considered to achieve effective designs, reliable predictions, and successful flow control. Accurate simulations of these flows rely on detailed thermochemical gas models (look-up libraries), which dramatically increase the cost of the underlying calculations. In this talk, I will first present state-of-the-art detailed simulations of such complex flows and the incurring cost, motivating the second part of the talk where I will present a novel model-agnostic data-driven technique to extract a surrogate of the thermochemical models, reducing the cost of the simulations considerably while maintaining accuracy.

Career Highlights

Prof. Sayadi received her PhD from Stanford University in 2012. After her PhD, she spent a few years as a postdoctoral researcher in internationally renowned institutions: École Polytechnique, Imperial College London, and RWTH-Aachen university. She held a position of Chargée de Recherche (CNRS) at Sorbonne University from 2018 to 2023. In 2023, she was awarded a Chair Professor Position in “Scientific Computing” at Conservatoire National des Arts et Métiers Paris (CNAM – Paris) and still holds a position of research group leader in the combustion institute at RWTH-Aachen university. Her research interests are in High-Performance Computing, data-driven model design and model reduction, and optimisation of interfacial and reactive flows.