Examination of the low frequency limit for helicopter noise data in aviation environmental design tool and integrated noise model.

2010 ◽  
Vol 127 (3) ◽  
pp. 1835-1835
Author(s):  
Eric Boeker ◽  
Noah Schulz
Keyword(s):  
Low Frequency ◽  
Environmental Design ◽  
Design Tool ◽  
Noise Model ◽  
Frequency Limit ◽  
Helicopter Noise ◽  
Noise Data ◽  
Environmental Design Tool

Community noise assessment of urban air mobility vehicle operations using the FAA Aviation Environmental Design Tool

2021 ◽  
Vol 263 (6) ◽  
pp. 450-461
Author(s):  
Stephen Rizzi ◽  
Menachem Rafaelof
Keyword(s):  
Environmental Design ◽  
The United States ◽  
Air Traffic ◽  
Performance Model ◽  
Design Tool ◽  
Urban Air ◽  
Initial Development ◽  
Noise Data ◽  
Fleet Operations ◽  
Environmental Design Tool

In contrast to most commercial air traffic today, vehicles serving the urban air mobility (UAM) market are anticipated to operate in communities close to the public at large. The approved model for assessing environmental impact of air traffic actions in the United States, the Federal Aviation Administration's Aviation Environmental Design Tool (AEDT), does not support analysis of such operations due to a combined lack of a UAM aircraft performance model and aircraft noise data. This paper discusses the initial development of a method to assess the acoustic impact of UAM fleet operations on the community using AEDT and demonstrates its use for representative UAM operations. In particular, methods were developed using fixed-point flight profiles and user-supplied noise data in a manner that avoids unwanted behavior in AEDT. A set of 32 routes in the Dallas-Ft. Worth area were assessed for single and multiple (fleet) operations for two concept vehicles.

Comparison of Measured Low-Frequency Engine Noise With Combustion and Jet Noise Predictions for a Turbofan Engine With an Internal Lobed Mixer Nozzle

2007 ◽  
Author(s):  
Lysbeth S. Lieber ◽  
Donald S. Weir
Keyword(s):  
Low Frequency ◽  
Jet Noise ◽  
Combustion Noise ◽  
Noise Model ◽  
Engine Noise ◽  
Turbofan Engine ◽  
Technology Program ◽  
Modeling Techniques ◽  
Noise Data ◽  
Static Conditions

This paper presents an examination of the low-frequency engine noise of a turbofan engine with an internal lobed mixer nozzle, and identifies the contributions of the combustion and exhaust jet component noise sources within the low frequency portion of the spectrum by applying recently developed modeling techniques. This investigation was performed as part of the NASA Quiet Aircraft Technology Program. Because the mixer reduces the total jet noise, the combustion noise source becomes a significant contributor. In addition, the character of the jet noise for the mixer nozzle is different from that for a single-stream or coannular nozzle. Although the internal mixer reduces the low-frequency shear-induced jet noise, it also produces an additional higher frequency contribution to the jet noise due to enhanced turbulence levels produced by the mixing process. Therefore, the modeling techniques that predict the low-frequency component source noise must capture sufficient physics of the noise generation process for the combustor and mixer nozzle to accurately represent the component spectral distributions. The improved modeling of component source noise for both combustor and jet sources was addressed as part of the NASA Quiet Aircraft Technology Program. This activity included development of a new narrowband combustion noise model, as well as the application of a recent jet noise model for nozzles with internal forced mixers. The noise data used in this study was taken during the NASA Engine Validation of Noise Reduction Concepts (EVNRC) Program. Both static and flight noise measurements were made at a range of power settings using the Honeywell TFE731-60 turbofan engine. The engine configuration of interest for this study employed a nozzle with an internal lobed mixer. Comparison of static and flight data with predictions from the combustion and jet noise models indicates that combustor noise has a significant contribution to lower-frequency engine noise (in the 400–1000 Hz range), particularly for flight conditions, where the jet noise is reduced due to flight effects, and also for lower power settings at static conditions. However, further calibration of the combustion and jet noise prediction techniques will be required, with isolated component noise data, before these models may be applied with certainty to model total engine noise in the low-frequency range.

scholarly journals Shade as an Environmental Design Tool for Skin Cancer Prevention

2018 ◽  
Vol 108 (12) ◽  
pp. 1607-1612 ◽  
Author(s):  
Dawn M. Holman ◽  
George Thomas Kapelos ◽  
Meredith Shoemaker ◽  
Meg Watson
Keyword(s):  
Skin Cancer ◽  
Cancer Prevention ◽  
Environmental Design ◽  
Design Tool ◽  
Skin Cancer Prevention ◽  
Environmental Design Tool

Validation of the aviation environmental design tool's noise model using high fidelity weather

2021 ◽  
Vol 263 (2) ◽  
pp. 4810-4822
Author(s):  
Ana Gabrielian ◽  
Tejas Puranik ◽  
Mayank Bendarkar ◽  
Michelle Kirby ◽  
Dimitri Marvis
Keyword(s):  
Real World ◽  
Noise Exposure ◽  
Environmental Design ◽  
Design Tool ◽  
Noise Model ◽  
Weather Data ◽  
High Fidelity ◽  
Real World Data ◽  
Community Noise ◽  
Fuel Burn

To enable sustainable aviation growth, mitigation of environmental effects must be developed in parallel. To further this effort, these effects are modeled using capabilities such as the Aviation Environmental Design Tool (AEDT), a program that is able to model aircraft performance, fuel burn, emissions, and noise. Past and current projects are performed with the intent of improving the accuracy of the models within AEDT to capture various real-world effects. This paper targets the sensitivity of the noise prediction and propagation by varying multiple assumptions within AEDT. To validate the noise capabilities, multiple streams of real-world data will be used to accurately model actual flights to and from SFO airport. This data includes High-Fidelity weather data,detailed flight performance characteristics from airline flight data records and noise monitoring data obtained from stations around the airport. The results from this study are expected to offer recommendations and help users prioritize and more accurately quantify community noise exposure using AEDT.

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