activity
20142023
most citedOptimal eddy viscosity for resolvent-based models of coherent structures in turbulent jets

109 citations · 363 across the 17 of their papers we have counts for

collaborators

18 papers

physics.flu-dyn2023

Receptivity of swept-aerofoil flows to small amplitude wall roughness using resolvent analysis based on wall displacement

Euryale Kitzinger, Denis Sipp, Olivier Marquet +1

The receptivity of a laminar boundary layer flow to small amplitude wall roughness is investigated on an ONERA-D swept aerofoil by introducing a dedicated resolvent operator based…

physics.flu-dyn2023★ 3 cited

RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure

Clément Scherding, Georgios Rigas, Denis Sipp +2

Many engineering applications rely on the evaluation of expensive, non-linear high-dimensional functions. In this paper, we propose the RONAALP algorithm (Reduced Order Nonlinear A…

cs.LG2023★ 2 cited

Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder

Priyam Gupta, Peter J. Schmid, Denis Sipp +2

The Koopman operator presents an attractive approach to achieve global linearization of nonlinear systems, making it a valuable method for simplifying the understanding of complex…

physics.flu-dyn2023★ 1 cited

Adjoint-based linear sensitivity of a hypersonic boundary layer to steady wall blowing-suction/heating-cooling

Arthur Poulain, Cédric Content, Georgios Rigas +2

For a Mach 4.5 flat-plate adiabatic boundary layer, we study the sensitivity of the first, second Mack modes and streaks to steady wall-normal blowing/suction and wall heat flux. T…

physics.flu-dyn2022★ 4 cited

Mean resolvent operator of statistically steady flows

Colin Leclercq, Denis Sipp

This paper introduces a new operator relevant to input-output analysis of flows in a statistically steady regime far from the steady base flow: the mean resolvent . I…

physics.flu-dyn2022

Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical non-equilibrium

Clément Scherding, Georgios Rigas, Denis Sipp +2

In this paper, we present a novel model-agnostic machine learning technique to extract a reduced thermochemical model for reacting hypersonic flows simulation. A first simulation g…