An advanced time approach for acoustic analogy predictions

Casalino, Damiano

doi:10.1016/s0022-460x(02)00986-0

Cited by 294 publications

(124 citation statements)

References 6 publications

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“…In the advanced time approach (Leishman 1996;Lyrintzis & Xue 1997;Casalino 2003;Lyrintzis 2003), also known as the source time-dominant algorithm (Brentner & Farassat 2003), the source time is chosen as the primary variable to evolve the solution. At each flow-field time step, matrices of instantaneous flow properties from the CFD solution are loaded into memory.…”

Section: (B) Retarded Time Versus Advanced Time Algorithmsmentioning

confidence: 99%

An acoustic analogy formulation for moving sources in uniformly moving media

Brès²,

2010

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Acoustic analogy methods are used as post-processing tools to predict aerodynamically generated sound from numerical solutions of unsteady flow. The Ffowcs WilliamsHawkings (FW-H) equation and related formulations, such as Farassat's Formulations 1 and 1A, are among the commonly used analogies because of their relative low computation cost and their robustness. These formulations assume the propagation of sound waves in a medium at rest. The present paper describes a surface integral formulation based on the convective wave equation, which takes into account the presence of a mean flow. The formulation was derived to be easy to implement as a numerical postprocessing tool for computational fluid dynamics codes. The new formulation constitutes one possible extension of Farassat's Formulation 1 and 1A based on the convective form of the FW-H equation.

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Section: (B) Retarded Time Versus Advanced Time Algorithmsmentioning

confidence: 99%

An acoustic analogy formulation for moving sources in uniformly moving media

Brès²,

2010

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“…This method has been implemented with the advanced-time approach, refer to Brentner et al 7 for rotor noise evaluation or more recently to Casalino 8 . The low frequency component of the power spectral density S LF is then obtained, the cut-off frequency being determined by mesh refinement and numerical scheme accuracy.…”

Section: The Wave Extrapolation Methods Of Ffowcs-williams and Hawkingsmentioning

confidence: 99%

Matched Hybrid Approaches to Predict Jet Noise by Using Large Eddy Simulation

Bodard¹,

Bailly

2009

15th AIAA/CEAS Aeroacoustics Conference (30th AIAA Aeroacoustics Conference)

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“…Next, the software builds a segment of the time-history of the radiated noise to specific observers, by estimating at each time step the contribution to the acoustic pressure fluctuation. The different contributions are finally summed up by synchronising their advanced time 1 to obtain the acoustic pressure history. The formulation of the FW-H acoustic analogy described by Casalino 1 is used to obtain the results of Sections A-D.…”

mentioning

confidence: 99%

“…The formulation of the FW-H acoustic analogy described by Casalino 1 is used to obtain the results of Sections A-D. The analogy with an acoustic medium at rest described by Lighthill 2 is revisited by Casalino 1 and an integral solution of the FW-H equation 3 in the advanced time formulation 4 is obtained. 1 The FW-H equation is a generalization of the Lighthill acoustic analogy that takes into account the presence of bodies in arbitrary motion.…”

mentioning

confidence: 99%

“…The analogy with an acoustic medium at rest described by Lighthill 2 is revisited by Casalino 1 and an integral solution of the FW-H equation 3 in the advanced time formulation 4 is obtained. 1 The FW-H equation is a generalization of the Lighthill acoustic analogy that takes into account the presence of bodies in arbitrary motion. 3 As sketched in figure 1(a), in this generalization a closed surface (FW-H integration surface) determines three different regions in which the fluid is assumed to have different properties.…”

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Validating the Ffowcs Williams and Hawkings acoustic analogy implementation in Antares

Stefano

Rona

Hallf

et al. 2016

22nd AIAA/CEAS Aeroacoustics Conference

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Progress is presented in the development of a Ffowcs Williams and Hawkings (FW-H) acoustic analogy post-processor for time-resolved Computational Fluid Dynamics (CFD) simulations. The tool is coded in Python and embedded in Antares, a post-treatment package (developed by Cerfacs, France) of wide access and usability for the scientific community. Tests on monopoles, dipoles, and quadrupoles show good predictions of pressure fluctuation and directivity against reference analytical results, validating the software for applications to stationary elementary sources. The proximity of these sources to a corner of the FW-H integration surface is shown to adversely affect the predictions and good agreement with the benchmark sound field is restored by an appropriate sizing and placement of the FW-H surface. Guidelines for obtaining predictions that are substantially independent of the size and placement of the FW-H surface are provided in terms of the spatial resolution of the discretised FW-H surface.

show abstract

An advanced time approach for acoustic analogy predictions

Cited by 294 publications

References 6 publications

An acoustic analogy formulation for moving sources in uniformly moving media

An acoustic analogy formulation for moving sources in uniformly moving media

Matched Hybrid Approaches to Predict Jet Noise by Using Large Eddy Simulation

Validating the Ffowcs Williams and Hawkings acoustic analogy implementation in Antares

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