2017
DOI: 10.2514/1.c034048
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Compact Assumption Applied to Monopole Term of Farassat’s Formulations

Abstract: Farassat's formulations provide an acoustic prediction at an observer location provided a source surface, including motion and flow conditions. This paper presents compact forms for the monopole term of several of Farassat's formulations. When the physical surface is elongated, such as the case of a high aspect ratio rotorcraft blade, compact forms can be derived which are shown to be a function of the blade cross sectional area by reducing the computation from a surface integral to a line integral. The compac… Show more

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Cited by 23 publications
(9 citation statements)
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“…Moreover, computational savings of up to 99.5% have been reported with only slight deviations compared to the corresponding non-compact discrete-frequency acoustic pressure computations (Ref. 30,31).…”
Section: Rotor Aeroacoustics Modelmentioning
confidence: 92%
“…Moreover, computational savings of up to 99.5% have been reported with only slight deviations compared to the corresponding non-compact discrete-frequency acoustic pressure computations (Ref. 30,31).…”
Section: Rotor Aeroacoustics Modelmentioning
confidence: 92%
“…The compact acoustic formulations adopted in this study are compatible with the lifting-linetype aerodynamic input provided by the free-wake airloads model. Moreover, computational savings of up to 99.5% have been reported with only slight deviations from the corresponding non-compact deterministic acoustic pressure computations [30], [32]. This enables the incorporation of on-the-fly and physics-based rotor source noise prediction into the simulation of complete rotorcraft operations.…”
Section: Near-field Noise Prediction Modelmentioning
confidence: 92%
“…Additionally, v is the source surface velocity vector, u is the fluid velocity vector and n is the unit outward normal vector to the source surface. [33] and followed by Lopes [32], the compact expressions of thickness and loading acoustic pressure can be formed as follows:…”
Section: Near-field Noise Prediction Modelmentioning
confidence: 99%
“…In order to predict the acoustic metrics, a tool that predicts thickness, loading, and broadband noise, acoustic propagation and observer noise is necessary. The Aircraft NOise Prediction Program 2 (ANOPP2, [16][17][18]) and AeroAcoustic ROtor Noise (AARON) tools provide the acoustic calculations in the toolchain. AARON is the user code to perform rotorcraft calculations with ANOPP2.…”
Section: Aaron/anopp2mentioning
confidence: 99%