A Process for Assessing Nasa's Capability in Aircraft Noise Prediction Technology

A Process for Assessing Nasa's Capability in Aircraft Noise Prediction Technology PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781719375481
Category :
Languages : en
Pages : 32

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Book Description
An acoustic assessment is being conducted by NASA that has been designed to assess the current state of the art in NASA s capability to predict aircraft related noise and to establish baselines for gauging future progress in the field. The process for determining NASA s current capabilities includes quantifying the differences between noise predictions and measurements of noise from experimental tests. The computed noise predictions are being obtained from semi-empirical, analytical, statistical, and numerical codes. In addition, errors and uncertainties are being identified and quantified both in the predictions and in the measured data to further enhance the credibility of the assessment. The content of this paper contains preliminary results, since the assessment project has not been fully completed, based on the contributions of many researchers and shows a select sample of the types of results obtained regarding the prediction of aircraft noise at both the system and component levels. The system level results are for engines and aircraft. The component level results are for fan broadband noise, for jet noise from a variety of nozzles, and for airframe noise from flaps and landing gear parts. There are also sample results for sound attenuation in lined ducts with flow and the behavior of acoustic lining in ducts. Dahl, Milo D. Glenn Research Center AERODYNAMIC NOISE; NOISE PREDICTION; ACOUSTIC DUCTS; JET AIRCRAFT NOISE; AIRCRAFT NOISE; ACOUSTIC ATTENUATION; TECHNOLOGY ASSESSMENT; AIRCRAFT ENGINES; PROGRESS; FAN BLADES; ERRORS

Assessment of NASA's Aircraft Noise Prediction Capability

Assessment of NASA's Aircraft Noise Prediction Capability PDF Author:
Publisher:
ISBN:
Category : Aeroacoustics
Languages : en
Pages : 0

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Research Needs in Aircraft Noise Prediction

Research Needs in Aircraft Noise Prediction PDF Author: John P. Raney
Publisher:
ISBN:
Category :
Languages : en
Pages : 44

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Evaluation of the Advanced Subsonic Technology Program Noise Reduction Benefits

Evaluation of the Advanced Subsonic Technology Program Noise Reduction Benefits PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721148158
Category :
Languages : en
Pages : 112

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This report presents a detailed evaluation of the aircraft noise reduction technology concepts developed during the course of the NASA/FAA Advanced Subsonic Technology (AST) Noise Reduction Program. In 1992, NASA and the FAA initiated a cosponsored, multi-year program with the U.S. aircraft industry focused on achieving significant advances in aircraft noise reduction. The program achieved success through a systematic development and validation of noise reduction technology. Using the NASA Aircraft Noise Prediction Program, the noise reduction benefit of the technologies that reached a NASA technology readiness level of 5 or 6 were applied to each of four classes of aircraft which included a large four engine aircraft, a large twin engine aircraft, a small twin engine aircraft and a business jet. Total aircraft noise reductions resulting from the implementation of the appropriate technologies for each class of aircraft are presented and compared to the AST program goals. Golub, Robert A. and Rawls, John W., Jr. and Russell, James W. Langley Research Center 23-781-20-12

Modeling Performance and Noise of Advanced Operational Procedures for Current and Future Aircraft

Modeling Performance and Noise of Advanced Operational Procedures for Current and Future Aircraft PDF Author: Jacqueline Leah Thomas
Publisher:
ISBN:
Category :
Languages : en
Pages : 74

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Book Description
Increasing concerns regarding aircraft noise has encouraged the push to reduce noise via operational adjustments. The objective here is thus to expand analysis capabilities to enable modeling of the impact on aircraft noise due to advanced operational approach procedures, such as delayed deceleration approaches and thrust cutback scheduling on takeoff, for both current and future aircraft designs. Current industry standard noise models rely on flight test data interpolation and do not fully capture noise impacts from airframe configuration or advanced operational techniques. This is critical for noise assessment because airframe noise becomes a significant factor relative to the low thrust levels characteristic of advanced operational approaches. This method also limits the ability to assess new aircraft designs. Therefore, a new method combining aircraft sizing and performance tools with NASA's Aircraft NOise Prediction Program (ANOPP) has been developed to capture those noise impacts. ANOPP is used because of its capability of computing noise received at ground observers due to both engines and airframe of aircraft flying any flight procedure. Inputs into ANOPP are the aircraft geometry, the flight procedure, and the engine performance during the flight procedure. The Transport Aircraft System OPTimization (TASOPT) model is used to compute the engine performance inputs into ANOPP via first principles, physics-based methods. A separate tool was developed to compute the specifics of the flight procedure (max glide slope obtainable for a particular velocity and configuration, required thrust levels, etc.) based on drag polar supplied either by the Base of Aircraft Data (BADA 4) for current aircraft or by TASOPT for new aircraft. Benefits of this modeling framework include the flexibility in the aircraft and procedure analyzed and the ability to predict the noise of future aircraft configurations without relying on existing data. Both the noise impacts of a sample advanced operational flight procedure and in a future aircraft fleet have been assessed with this model. Next steps include further use of this model to evaluate the noise benefits or detriments of advanced operational approaches.

Aircraft Noise

Aircraft Noise PDF Author: Oleksandr Zaporozhets
Publisher: CRC Press
ISBN: 0203888820
Category : Technology & Engineering
Languages : en
Pages : 432

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Book Description
Aircraft noise has adverse impacts on passengers, airport staff and people living near airports, it thus limits the capacity of regional and international airports throughout the world. Reducing perceived noise of aircraft involves reduction of noise at source, along the propagation path and at the receiver. Effective noise control demands highly s

The NASA Aircraft Noise Prediction Program Improved Propeller Analysis System

The NASA Aircraft Noise Prediction Program Improved Propeller Analysis System PDF Author: L. Cathy Nguyen
Publisher:
ISBN:
Category :
Languages : en
Pages : 108

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NASA Progress in Aircraft Noise Prediction

NASA Progress in Aircraft Noise Prediction PDF Author: John P. Raney
Publisher:
ISBN:
Category : Acoustical engineering
Languages : en
Pages : 46

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Aircraft Noise Prediction Program Propeller Analysis System Ibm-PC Version User's Manual Version 2.0

Aircraft Noise Prediction Program Propeller Analysis System Ibm-PC Version User's Manual Version 2.0 PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723511219
Category :
Languages : en
Pages : 236

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Book Description
The IBM-PC version of the Aircraft Noise Prediction Program (ANOPP) Propeller Analysis System (PAS) is a set of computational programs for predicting the aerodynamics, performance, and noise of propellers. The ANOPP-PAS is a subset of a larger version of ANOPP which can be executed on CDC or VAX computers. This manual provides a description of the IBM-PC version of the ANOPP-PAS and its prediction capabilities, and instructions on how to use the system on an IBM-XT or IBM-AT personal computer. Sections within the manual document installation, system design, ANOPP-PAS usage, data entry preprocessors, and ANOPP-PAS functional modules and procedures. Appendices to the manual include a glossary of ANOPP terms and information on error diagnostics and recovery techniques. Nolan, Sandra K. Unspecified Center NASA-CR-181689, NAS 1.26:181689 NAS1-18000; RTOP 505-63-51-07...

The Aviation System Analysis Capability Noise Impact Model

The Aviation System Analysis Capability Noise Impact Model PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721081035
Category :
Languages : en
Pages : 120

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Book Description
To meet its objective of assisting the US aviation industry with the technological challenges of the future, NASA must identify research areas that have the greatest potential for improving the operation of the air transportation system. To accomplish this, NASA is building an Aviation System Analysis Capability (ASAC). The Noise Impact Model (NIM) has been developed as part of the ASAC. Its primary purpose is to enable users to examine the impact that quieter aircraft technologies and/or operation might have on community noise impact and air carrier operating efficiency at any of 16 large and medium size US airports. The analyst chooses an airport and case year for study, selects a runway use configuration and set of flight tracks for the scenario, and has the option of reducing the noise of the aircraft that operate at the airport by 3, 6, and 10 decibels, NIM computes the resultant noise impact and estimates any airline operational improvements. Community noise impact is characterized in three ways: the size of the noise contour footprint, the number of people living within the contours, and the number of homes located in the same contours. Distance and time savings are calculated by comparing the noise abatement flight path length to a less circuitous alternated routing. For a more efficient runway use configuration, the increase in capacity and reduction in delay are shown. Ege, Russell A. and Brown, Jerome and Bradley, Kevin and Grandi, Fabio Langley Research Center NAS2-14361; RTOP 538-16-11-01