260 citations · 325 across the 8 of their papers we have counts for
9 papers
Space-dependent Aggregation of Stochastic Data-driven Turbulence Models
Soufiane Cherroud, Xavier Merle, Paola Cinnella +1
A stochastic Machine-Learning approach is developed for data-driven Reynolds-Averaged Navier-Stokes (RANS) predictions of turbulent flows, with quantified model uncertainty. This i…
Space-dependent turbulence model aggregation using machine learning
Maximilien de Zordo-Banliat, Grégory Dergham, Xavier Merle +1
In this article, we propose a data-driven methodology for combining the solutions of a set of competing turbulence models. The individual model predictions are linearly combined fo…
Shock impingement on a transitional hypersonic high-enthalpy boundary layer
Donatella Passiatore, Luca Sciacovelli, Paola Cinnella +1
The dynamics of a shock wave impinging on a transitional high-enthalpy boundary layer out of thermochemical equilibrium is investigated for the first time by means of a direct nume…
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions
Florent Bonnet, Ahmed Jocelyn Mazari, Paola Cinnella +1
Surrogate models are necessary to optimize meaningful quantities in physical dynamics as their recursive numerical resolutions are often prohibitively expensive. It is mainly the c…
CFD-driven Symbolic Identification of Algebraic Reynolds-Stress Models
I. Ben Hassan SaÏdi, M. Schmelzer, P. Cinnella +1
A CFD-driven deterministic symbolic identification algorithm for learning explicit algebraic Reynolds-stress models (EARSM) from high-fidelity data is developed building on the fro…
Finite-rate chemistry effects in turbulent hypersonic boundary layers: a direct numerical simulation study
Donatella Passiatore, Luca Sciacovelli, Paola Cinnella +1
The influence of high-enthalpy effects on hypersonic turbulent boundary layers is investigated by means of direct numerical simulations (DNS). A quasi-adiabatic flat-plate air flow…
Assessment of a high-order shock-capturing central-difference scheme for hypersonic turbulent flow simulations
Luca Sciacovelli, Donatella Passiatore, Paola Cinnella +1
High-speed turbulent flows are encountered in most space-related applications (including exploration, tourism and defense fields) and represent a subject of growing interest in the…
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression
Martin Schmelzer, Richard P. Dwight, Paola Cinnella
** This article is published (open-access). ** A novel deterministic symbolic regression method SpaRTA (Sparse Regression of Turbulent Stress Anisotropy) is introduced to infer alg…
Quantification of Model Uncertainty in RANS Simulations: A Review
Heng Xiao, Paola Cinnella
In computational fluid dynamics simulations of industrial flows, models based on the Reynolds-averaged Navier--Stokes (RANS) equations are expected to play an important role in dec…