Dynamics and Control of Global Instabilities in Open-Flows: A Linearized Approach
By Denis Sipp, O. Marquet, P. Meliga, A. Barbagallo. 2010
273 citations recorded by the source corpus.
Subfields: Computational Mechanics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/cbc1bd2f7509c34739d5f7677095c1bdb73bfbac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Steven L. Brunton
- Oliver T. Schmidt
- Tim Colonius
- Aaron Towne
- P. Jordan
- Bernd R. Noack
- André V. G. Cavalieri
- J. Nathan Kutz
In Statistical and Nonlinear Physics
- Steven L. Brunton
- J. Nathan Kutz
- Eurika Kaiser
- Bernd R. Noack
- Oliver T. Schmidt
- Clarence W. Rowley
- Thomas Duriez
- Tim Colonius
Citations in the corpus
- A data-assimilation method for Reynolds-averaged Navier–Stokes-driven mean flow reconstruction (2014, methodology): “This approach is widely used in the flow optimization community for finding optimal perturbations, forcings or control strategies, to cite but a few applications (Hill 1995; Gunzburger 2000; Luchini & Bottaro 2001; Schmid 2007; Sipp et al. 2010).”
- Cluster-based reduced-order modelling of a mixing layer (2013, methodology): “This approach was popularised for the control of flow instabilities observed in some aerodynamic configurations by Sipp et al. (2010).”
- Stability, Receptivity, and Sensitivity Analyses of Buffeting Transonic Flow over a Profile (2015, methodology): “Linear-stability analysis has become a tool commonly used in fluid dynamics, which can often give physical insight to understand flow unsteadiness [14,15].”
- Conditions for validity of mean flow stability analysis (2016, unknown): “Finally, by using the restriction operator R= (1 0) to eliminate the pressure term, (2.7) can be rearranged as: û=R(ω)f̂ , (2.8) where R(ω) = R(iωB − L)−1P is the resolvent around the mean flow of the system (Sipp et al. 2010).”
- Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (2016, methodology): “For details, we refer to excellent reviews on the applications of linear control theory in fluids mechanics [231, 161, 13, 250].”
- Wavepackets and trapped acoustic modes in a turbulent jet: coherent structure eduction and global stability (2017, background): “a convective non-normality characterized by an upstream-downstream separation of the spatial support of the adjoint and direct modes (Sipp et al. 2010; Nichols & Lele 2011).”
- Characterization of noise amplifiers with global singular modes: the case of the leading-edge flat-plate boundary layer (2013, background): “And it still suffers from convergence problems [19], especially for the optimal forcing structures.”