Computational aeroacoustics: progress on nonlinear problems of sound generation

By Tim Colonius, Sanjiva K. Lele. 2004

582 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/b2094ce8815ec3a25e43f09b34f91303b142e1a0

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In Aerospace Engineering

In Computational Mechanics

Citations in the corpus

Influence of nozzle-exit boundary-layer conditions on the flow and acoustic fields of initially laminar jets (2010, background): “However, some questions remain because the computing limitations have led to differences between experimental and numerical inflow conditions, as specifically highlighted in reviews by Colonius & Lele (2004) and Bodony & Lele (2008).”
Stable high‐order finite‐difference methods based on non‐uniform grid point distributions (2008, unknown): “Computational acoustics and aeroacoustics, prediction of transition and direct numerical simulation of turbulence are typical examples of such problems [2, 3].”
Unstructured Large-Eddy Simulations of Supersonic Jets (2017, background): “This intermediate region where the flow transitions from a mixing layer to a fully developed jet is often regarded as the region of peak noise generation [61].”
A shock-capturing methodology based on adaptative spatial filtering for high-order non-linear computations (2009, methodology): “Issues [1] specific to computational aeroacoustics (CAA) have led over the last 15 years to the design of appropriate methods, reported for instance in the review of Colonius and Lele [2], which are less dispersive and less dissipative than standard methods of computational fluids dynamics (CFD).”
COMPUTATIONAL PREDICTION OF FLOW-GENERATED SOUND (2006, methodology): “Colonius & Lele (2004) provide a chart for selecting a finite-difference method from some available schemes to minimize computational expense given an accuracy target.”
Comparison between lattice Boltzmann method and Navier-Stokes high order schemes for computational aeroacoustics (2009, unknown): “The main purpose of CAA is to predict the near- and far-field noise radiated by immersed solid bodies or turbulent flows [8,29] via accurate and reliable simulations.”