J
J. C. Simonich
Publications - 9
Citations - 76
J. C. Simonich is an academic researcher. The author has contributed to research in topics: Turbulence & Mean flow. The author has an hindex of 4, co-authored 9 publications receiving 68 citations.
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Journal ArticleDOI
Rotor noise due to atmospheric turbulence ingestion. I - Fluid mechanics
TL;DR: In this paper, different models for turbulence fluid mechanics and the ingestion process are combined for the prediction of helicopter rotor noise generation due to the ingestion of atmospheric turbulence, and mean flow and turbulence statistics associated with the atmospheric boundary layer are modeled with attention to the effects of atmospheric stability length, windspeed, and altitude.
Journal ArticleDOI
Rotor noise due to atmospheric turbulence ingestion. II - Aeroacoustic results
TL;DR: In this article, a computer program for the prediction of noise due to the turbulence of inflow to a propeller or helicopter rotor is extended to the case of nonisotropic turbulence, on the basis of a combined mean flow contraction model and rapid distortion theory.
Helicopter rotor noise due to ingestion of atmospheric turbulence
TL;DR: In this article, the authors developed an analytical prediction method for helicopter main rotor noise due to the ingestion of atmospheric turbulence, incorporating an atmospheric turbulence model, a rotor mean flow contraction model and a rapid distortion turbulence model which together determine the statistics of the non-isotropic turbulence at the rotor plane.
Jet shielding of jet noise
TL;DR: In this article, a generalized fuel jet noise analytical model was formulated in which the acoustic radiation from a source jet propagates through the velocity and temperature discontinuity of the adjacent shielding jet.
Proceedings ArticleDOI
Rotor noise due to atmospheric turbulence ingestion. I - Fluid mechanics
TL;DR: In this paper, different models for turbulence fluid mechanics and the ingestion process are combined for the prediction of helicopter rotor noise generation due to the ingestion of atmospheric turbulence, and mean flow and turbulence statistics associated with the atmospheric boundary layer are modeled with attention to the effects of atmospheric stability length, windspeed, and altitude.