Relevant bibliographies by topics / Flight noise

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Flight noise'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Flight noise"

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Mahseredjian, Ara, Jacqueline Thomas, and R. John Hansman. "Advanced procedure noise model validation using Seattle International Airport noise monitor networks." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (2021): 4787–98. http://dx.doi.org/10.3397/in-2021-2842.

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Advanced operational flight procedures that utilize modifications to thrust, airspeed, altitude, and configuration can be implemented to mitigate noise impacts for communities surrounding airports. Evaluating and designing such procedures requires accurate modeling of the aircraft performance, source noise, and atmospheric propagation of the source noise to the ground. Modeling frameworks to assess advanced procedures have been developed but must be validated to ensure their results are reasonable. This paper presents validation of such noise models using a network of ground noise monitoring data at Seattle-Tacoma International airport and ADS-B operational radar flight profiles from the OpenSky database. Modeled noise from operational flights of several aircraft types are shown to be consistent with noise monitor data when reasonable flap settings and atmospheric corrections for the actual weather at the time of flight are used. Discrepancies that exist between the modeled and measured noise results are identified to determine where current noise modeling methods must be improved to accurately represent all relevant noise sources.
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Hübner, Josephin, and Christoph Strümpfel. "Aircraft Noise Modeling of Departure Flights based on Flight Track Data and Actual Aircraft Performance Parameters." Lärmbekämpfung 15, no. 06 (2020): 188–93. http://dx.doi.org/10.37544/1863-4672-2020-06-18.

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Abstract The improvement of existing and the development of new operational noise abatement departure procedures (NADP) requires precise knowledge of the current aircraft noise situation in the vicinity of an airport. While the current noise situation is recorded using aircraft noise measurements, the estimation of future aircraft noise in the vicinity of airports must be calculated using suitable modeling methods (e. g. ECAC Doc 29). So far, the methods for estimating aircraft noise have been based on generic departure profiles and assumptions about flight operations procedures that do not match the real departure profiles, flight performance statuses and operational flight operations procedures sufficiently. In this article a method is presented that enables the calculation of aircraft noise contours of real departures using the aircraft noise modeling software Aviation Environmental Design Tool (AEDT). The exact calculation of aircraft noise contours from departures is based on a data set of flight history data (radar data), including the detailed estimation of aircraft performance parameters (including aircraft mass and engine thrust) and flight operations procedures (cutback and acceleration heights, flap schedule) along the departure trajectory. Then the data set is implemented in the modeling software and the calculated noise metrics (LA,MAX) are validated with real aircraft noise measurements of the corresponding flights.
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Tuân, Lê Đình, Anh Trần Tiến, and Hải Nguyễn. "On the airport environmental noise monitoring and control system." Science & Technology Development Journal - Engineering and Technology 3, SI2 (2021): first. http://dx.doi.org/10.32508/stdjet.v3isi2.622.

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Most major airports use permanent noise and operations monitoring systems to reduce the noise of flight operations in the surrounding community. This paper aims at a technical proposal for a permanent environmental noise monitoring and control system to provide solutions to reduce the noise of flying activities for communities around the airport. Airport noise monitoring is often used to evaluate noise abatement programs and to improve the aircraft's take-off / landing procedures, to minimize the impact of aircraft noise based on altitude, flight path and time of day. Noise monitoring is usually linked to the tracking radar to determine which aircraft is in particular when the noise limit is exceeded and thus provides immediate operational requirements to meet. The airport noise enviromental monitoring and control system is often structured with fixed permanent noise monitoring stations, mobile noise monitoring stations, multi-parameter wheather stations, radar tracks and flights information to automatically evaluate the noise impact due to operation of aircrafts in the surrounds of airport, near and on residential areas. The entire system is operated by a software platform proposed as a cloud configuration available on the internet. The platform provides all the modules required to manage data such as noise and flight information monitoring and control, live data, reports, noise and flight information in public disclosure, complaints management, alarms and warnings, etc.
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Zaporozhets, Oleksandr, and Alexandras Jagniatinskis. "Improving single flyover noise prediction for subsonic aircraft." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (2021): 3259–70. http://dx.doi.org/10.3397/in-2021-2352.

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Current ICAO Doc 9911 provides the algorithm to calculate aircraft noise levels for any kind of airport flight scenario. The essential difference exists between the measured and calculated sound levels, especially for single flight noise events. Doc 9911 recommends using this method for equivalent sound levels L and noise indices L first of all. A number of national noise regulations still require for single noise event assessment. An article analyzes a number of reasons to explain the inaccuracy of noise event calculations. For example, the differences between calculated balanced flight parameters (thrust and velocity first of all) and supervised in real flights may influence the accuracy first of all. Statistical data was gathered to make more general view on these differences and some proposal to use them in calculations has being proved. Also, the assumptions of the ICAO Doc 9911 method may contribute to the inaccuracy of calculations. Among them are the homogeneous atmosphere for sound propagation, generalized for overall fleet noise directivity pattern, etc. Ground effect model defines the values for aircraft absent in operation currently. The first assumption provides a conflict with flight path calculations for varied atmosphere parameters with height over the surface.
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Makino, Koichi, and Naoaki Shinohara. "Daily fluctuations in aircraft noise exposure around civil airports and military airfields in Japan." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (2021): 5154–60. http://dx.doi.org/10.3397/in-2021-2984.

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In Japan, yearly average of (day-evening-night sound level) as cumulative noise index has been adopted in national noise guideline of "Environmental Quality Standards for Aircraft Noise." Daily flight movements at civil airports are almost stable because of scheduled airline flight. On the other, daily total flight movements at military airfields greatly change day to day because of training flights, etc. Thus, noise exposure around the airport may change significantly from day to day due to change of flight movement. This paper shows examples of fluctuations, frequency distribution and deviation of daily using aircraft noise monitoring data around civil airports and military airfields. In the case of civil airports, standard deviation of daily was less than 5 dB at the monitoring stations where the yearly average of were about 55 dB or more. However, the standard deviation of daily increased 10 dB or more in some cases at points where yearly average of less than 55 dB. Furthermore, in the case of military airfields, the standard deviation of daily were 5 dB or more for all monitoring stations.
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Moberg, Bengt, Anders Johansson, Johan Rignér, and Per Näsman. "Operational noise optimization of aircraft approaches - Initial findings." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 6 (2021): 499–507. http://dx.doi.org/10.3397/in-2021-1494.

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As the pilots slow the aircraft down and extend flaps and landing gear in preparation for landing the characteristics of the aircraft as a noise source changes. In the OPNOP project, the possibility to use this variation in noise generation to minimize noise at a specified location is examined. Such analysis requires an increased understanding about aircraft noise generation as the aircraft changes configuration and speed during the approach, where theoretical models available can be overly simplistic and of little use for this purpose. Using flight data from 113 actual Airbus A321 flights, and corresponding noise measurements on the ground, this study reports on the initial findings forming the foundation on which further analysis will be conducted. Intermediary findings relate to: a comparison between models and actual measurements, the distance variability to the runway for various flap selections and extension of the landing gear as well as a comparison between flight data and on-ground noise measurements. Captured data suggest that it should be possible to use speed and configuration recommendations to reduce noise over selected approach areas. Future research will include scenario generation and incorporate flight data from an earlier study to increase validity.
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Jaworski, Justin W., and N. Peake. "Aeroacoustics of Silent Owl Flight." Annual Review of Fluid Mechanics 52, no. 1 (2020): 395–420. http://dx.doi.org/10.1146/annurev-fluid-010518-040436.

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The ability of some species of owl to fly in effective silence is unique among birds and provides a distinct hunting advantage, but it remains a mystery as to exactly what aspects of the owl and its flight are responsible for this dramatic noise reduction. Crucially, this mystery extends to how the flow physics may be leveraged to generate noise-reduction strategies for wider technological application. We review current knowledge of aerodynamic noise from owls, ranging from live owl noise measurements to mathematical modeling and experiments focused on how owls may disrupt the standard routes of noise generation. Specialized adaptations and foraging strategies are not uniform across all owl species: Some species may not have need for silent flight, or their evolutionary adaptations may not be effective for useful noise reduction for certain species. This hypothesis is examined using mathematical models and borne out where possible by noise measurements and morphological observations of owl feathers and wings.
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Zhi, Yongfeng, Gaoshang Li, Qun Song, Ke Yu, and Jun Zhang. "Flight control law of unmanned aerial vehicles based on robust servo linear quadratic regulator and Kalman filtering." International Journal of Advanced Robotic Systems 14, no. 1 (2017): 172988141668695. http://dx.doi.org/10.1177/1729881416686952.

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A new flight control law for unmanned aerial vehicles based on robust servo linear quadratic regulator control and Kalman filtering is proposed. This flight control law has a simple structure with high dependability in engineering. The pitch angle controller, which is designed based on the robust servo linear quadratic regulator control, is given to show the flight control law. Simulation results show that the pitch angle controller works well under noise-free conditions. Finally, Kalman filtering is applied to the pitch angle controller under noisy conditions, and the simulation results show that the proposed method reduces the influence of noise.
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LePiane, Krista, and Christopher J. Clark. "Evidence that the Dorsal Velvet of Barn Owl Wing Feathers Decreases Rubbing Sounds during Flapping Flight." Integrative and Comparative Biology 60, no. 5 (2020): 1068–79. http://dx.doi.org/10.1093/icb/icaa045.

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Synopsis Owls have specialized feather features hypothesized to reduce sound produced during flight. One of these features is the velvet, a structure composed of elongated filaments termed pennulae that project dorsally from the upper surface of wing and tail feathers. There are two hypotheses of how the velvet functions to reduce sound. According to the aerodynamic noise hypothesis, the velvet reduces sound produced by aerodynamic processes, such as turbulence development on the surface of the wing. Alternatively, under the structural noise hypothesis, the velvet reduces frictional noise produced when two feathers rub together. The aerodynamic noise hypothesis predicts impairing the velvet will increase aerodynamic flight sounds predominantly at low frequency, since turbulence formation predominantly generates low frequency sound; and that changes in sound levels will occur predominantly during the downstroke, when aerodynamic forces are greatest. Conversely, the frictional noise hypothesis predicts impairing the velvet will cause a broadband (i.e., across all frequencies) increase in flight sounds, since frictional sounds are broadband; and that changes in sound levels will occur during the upstroke, when the wing feathers rub against each other the most. Here, we tested these hypotheses by impairing with hairspray the velvet on inner wing feathers (P1-S4) of 13 live barn owls (Tyto alba) and measuring the sound produced between 0.1 and 16 kHz during flapping flight. Relative to control flights, impairing the velvet increased sound produced across the entire frequency range (i.e., the effect was broadband) and the upstroke increased more than the downstroke, such that the upstroke of manipulated birds was louder than the downstroke, supporting the frictional noise hypothesis. Our results suggest that a substantial amount of bird flight sound is produced by feathers rubbing against feathers during flapping flight.
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Giladi, Ran, and Eliav Menachi. "Validating Aircraft Noise Models." Proceedings 59, no. 1 (2020): 12. http://dx.doi.org/10.3390/proceedings2020059012.

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Aircraft noise, especially at takeoffs and landings, became a major environmental nuisance and a health hazard for the population around metropolitan airports. In the battle for a better quality of life, wellbeing, and health, aircraft noise models are essential for noise abatement, control, enforcement, evaluation, policy-making, and shaping the entire aviation industry. Aircraft noise models calculate noise and exposure levels based on aircraft types, engines and airframes, aircraft flight paths, environment factors, and more. Validating the aircraft noise model is a mandatory step towards the model credibility, especially when these models play such a key role with a huge impact on society, economy, and public health. Yet, no validation procedure was offered, and it turns out to be a challenging task. The actual, measured, aircraft noise level is known to be subject to statistical variation, even for the same aircraft type at the same situation and flight phase, executing the same flight procedure, with similar environmental factors and at the same place. This study tries to validate the FAA’s AEDT aircraft noise model, by trying to correlate the specific flight path of an aircraft with its measured noise level. The results show that the AEDT noise model underestimates the actual noise level, and four validation steps should be performed to correct or tune aircraft noise databases and flight profiles.
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Dissertations / Theses on the topic "Flight noise"

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Sargent, D. Caleb. "In-flight array measurements of tail rotor harmonic noise." College Park, Md.: University of Maryland, 2008. http://hdl.handle.net/1903/8786.

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Thesis (M.S.) -- University of Maryland, College Park, 2008.<br>Thesis research directed by: Dept. of Aerospace Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Gervais, Marc. "Tiltrotor noise reduction through flight trajectory management and aircraft configuration control." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1888.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Aerospace Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Henry, Cyprien. "Prediction of broadband shock-associated noise in static and flight conditions." Thesis, Ecully, Ecole centrale de Lyon, 2012. http://www.theses.fr/2012ECDL0060/document.

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Pas de résumé<br>This work aims at developing a statistical prediction method for BroadBand Shock-Associated Noise (BBSAN), following recent work from NASA and Boeing. The approach is similar to studies performed for mixing noise models.First, a methodology has been developed to compute the mean turbulent _ow _eld using the Reynolds Averaged Navier-Stokes (RANS) equations. These equations are solved with elsA, a solver developed by ONERA. Most calculations have been performed on academic configurations. An extensive test campaign has been conducted on these configurations at Ecole Centrale de Lyon (ECL), so that calculations have been thoroughly compared to measurements. Mainly, two operating conditions have been tested. The first one is a jet at Mj = 1:15. This condition is typical of a civil engine in cruise. The second operating condition is a jet at Mj = 1:35, which rather concerns military engines.An acoustic model has been developed. It uses the RANS calculation as an input to compute Power Spectrum Densities (PSDs). The intermediate version of the model does not account for refraction effects: acoustic sources are propagated to the far-field using a free field Green's function. As will be seen, this gives good results on simple configurations.The model has been extended to account for refraction effects. This is achieved by computing a Green's function tailored to the problem. A ray tracing method coupled to an adjoint approach has been used to evaluate the Green's function. The computation of the Green's function has been validated for simple cases. The Green's function calculation has been coupled to the acoustic model. PSDs including refraction effects on dual-streamjets are presented
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Brooks, Callen T. (Callen Theodore). "Modeling the effects of aircraft flight track variability on community noise exposure." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113722.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 119-121).<br>The implementation of Performance Based Navigation (PBN) routes across the National Airspace System (NAS) has caused a significant concentration of flight tracks. This flight track concentration also creates a concentration of noise impacts on the communities surrounding airports, which has led to an increase in noise complaints at many airports that have implemented these routes. In order to understand these changes in noise, and to design procedures that could help mitigate any negative effects, it is important to have modeling tools capable of capturing the noise impacts of flight track variability. This thesis develops a model for this purpose. First, twenty days of radar flight trajectory data from 2015 and 2016 at Boston Logan International Airport (KBOS) is used to quantify the observed distributions of variability in speed, altitude, and lateral track position. It is shown that altitude and speed variability have relatively small impacts on noise, but that the impacts of observed lateral variability are significant. Using this information, a physics-based model is developed to capture the noise impacts of lateral flight track variability. This tool is then used to model several example scenarios. First, the changes in noise due to pre- and post-PBN procedures are examined for KBOS Runway 33L departures. Next, a hypothetical procedure is designed to intentionally introduce lateral dispersion to KBOS Runway 33L departures. Finally, the tool is used to rapidly model noise impacts on due to both arrival and departure operations on all runways at KBOS. The model is shown to reduce computational expense by 1-2 order of magnitude relative to traditional methods. The results of these example analyses show that increased lateral dispersion causes a significant noise reduction at higher noise levels directly below the flight track at the cost of wider contours at lower noise levels. Because of this, any decision to add or remove flight track lateral dispersion has highly localized impacts that depend on the geometry of the route and the population of the surrounding area, and thus must be closely analyzed on an individual basis.<br>This work was sponsored by the FAA under ASCENT Center of Excellence Project 23, Cooperative Agreement 13-C-AJFE-MIT-008.<br>by Callen T. Brooks.<br>S.M.
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Yu, Alison Y. (Alison Yan-Ka), and Robert John Hansman. "Aircraft noise modeling of dispersed flight tracks and metrics for assessing impacts." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122382.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019<br>"Alison Y. Yu and R. John Hansman. This report is based on the Masters Thesis of Alison Y. Yu submitted to the Department of Aeronautics and Astronautics in partial fulfillment of the requirements for the degree of Master of Science at the Massachusetts Institute of Technology. The work presented in this report was also conducted in collaboration with: Prof R. John Hansman. Report No. ICAT-2019-07. MIT International Center for Air Transportation (ICAT) Department of Aeronautics & Astronautics Massachusetts Institute of Technology Cambridge, MA 02139 USA"--Additional title page. Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 86-88).<br>The implementation of Performance Based Navigation (PBN), such as Area Navigation (RNAV) and Required Navigation Performance (RNP), has led to aircraft being able to fly designed flight tracks very precisely. This has led to communities citing the concentration of aircraft along one flight track as a noise issue because of the frequent overflights above specific areas. In order to assess the impact of frequent overflights, metrics for understanding the annoyance mechanism were necessary. The metric Nx, which is a count of the number of overflights above the A-weighted maximum sound level (L[subscript A,max]) of xdB during the day and (x-10)dB during the night, was investigated. The metric Nx required analysis of the L[subscript A,max] noise level to count as an overflight, as well as the number of overflights that represented the annoyance threshold. N₆₀ on a peak day with 50 overflights was shown to represent at least 80% of the complaint locations at BOS, MSP, LHR, and one runway at CLT. Alternatively peak day DNL is also shown to be a possible representative noise metric and will also be investigated. A noise metric representative of the impacts of frequent overflights allowed for communication of analysis results for possibilities for dispersed flight tracks. Important ways to communicate analysis results to stakeholders included: overall increase or decrease in population exposure to N₆₀ on a peak day with 50 overflights, the change in the number of N₆₀ overflights for the areas of impact, and presentation of the data that allowed stakeholders to understand the impact within the boundaries of their specific representative area. These tools will allow communities to understand the noise impacts of the procedures considered and will support the stakeholder decision processes.<br>"This work was sponsored by the Federal Aviation Administration (FAA) under ASCENT Center of Excellence Project 23, Cooperative Agreement 13-C-AJFE-MIT-008 and by the Massachusetts Port Authority (Massport)"--Page 5<br>by Alison Y. Yu.<br>S.M.<br>S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics
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Gu, Weiqun. "Evaluation of optimised flight trajectories for conventional and novel aircraft and engine integrated systems." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/10254.

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Today, the air transport industry has become an essential element of global society by its great contributions to the wide exchanges of cultures/people and to the rapid growth in the world economy. However, on the other hand, the adverse impacts on the environment caused by air transport, such as air pollution, noise and climate change, are drawing, increasingly, growing public concern. In order to address the steady growth in air-travel demand in the next decades through an environmentally-friendly way and realise the ACARE 2020 environmental goals, The Clean Sky programme has been launched by European Union over the period 2008 – 2013. The project research, described in this thesis and sponsored by the Clean Sky programme, aims at evaluating the feasibility of reducing the environmental impact of commercial aviation through the introduction of changes in the aircraft operational rules and procedures, as well as the application of the new-generation propfan (open rotor) engine, based on flight trajectory multidisciplinary optimisation and analysis of commercial aircraft. In order to accomplish the above research objectives, a complete methodology to achieve and realise optimum flight trajectories has been initially proposed. Then, 12 component-level models which function as simulating different disciplines, such as aircraft performance, engine performance, engine gaseous emission, and flight noise, have been developed or selected/adopted. Further, nine system-level integration and optimisation models were built. These system-level models simulate flights from Amsterdam Schiphol airport in the Netherlands to Munich airport in Germany flown by different types of aircraft through different flight phases with different optimisation objectives. Finally, detailed investigations into the flight trajectory optimisations were performed, extensive optimisation results were achieved and corresponding description, analysis and comparisons were provided. The main contributions of this work to knowledge broadly comprise the following: 1) the further development regarding the methodology of flight trajectory multidisciplinary optimisation; 2) previous work on aircraft trajectory optimisation has often considered fixed objectives over the complete flight trajectory. This research focused on representative flight phases of a flight mission with different optimisation objectives, namely, noise impact and fuel burn during the departure phase; fuel burn and flight time during en route phase; and noise impact and NOx emission during the arrival phase; 3) this research has extended the current flight trajectory optimisations to turboprop and propfan equipped aircraft. As a result, a relative complete 2D flight trajectory multidisciplinary optimisation spectrum, spanned by primary commercial aircraft types, primary flight phases and primary optimisation objectives of interest, has been built. Although encouraging progress have been achieved, this project research, as with any other research activity, is also only ‘on the way’ rather than coming to the ‘end’ point. There are still many aspects which can be improved further and there is still much new research and exploration which can be investigated further. All these have also been suggested in this thesis.
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Jensen, Luke L. "Data-driven flight procedure simulation and noise analysis in a large-scale air transportation system." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119288.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 227-234).<br>Aircraft noise is a growing source of community concern around airports. Despite the introduction of quieter aircraft, increased precision of onboard guidance systems has resulted in new noise impacts driven by overflight frequency effects. Noise issues present a potential barrier to the continued rollout of advanced operational procedures in the US. This thesis presents a data-driven approach to simulating and communicating noise effects in the flight procedure development and modernization process, with input from multiple stakeholders with varying objectives that are technical, operational, and political in nature. First, a system-level framework is introduced for developing novel noise-reducing arrival and departure flight procedures, clarifying the role of the analyst given diverse stakeholder objectives. The framework includes relationships between baseline impact assessment, community negotiation, iterative flight procedure development, and formal implementation processes. Variability in stakeholder objectives suggests a need to incorporate noise issues in conjunction with other key operational objectives as part of larger-scale US air transportation system modernization. As part of this framework development, an airport-level noise modeling method is developed to enable rapid exposure and impact analysis for system-level evaluation of advanced operational procedures. The modeling method and framework are demonstrated by evaluating potential benefits of specific advanced procedures at 35 major airports in the US National Airspace System, including Performance Based Navigation guidance and a speed-managed departure concept.<br>by Luke L. Jensen.<br>Ph. D.
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Thomas, Jacqueline(Jacqueline Leah). "Systems analysis of community noise impacts of advanced flight procedures for conventional and hybrid electric aircraft." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127064.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 213-223).<br>Recent changes to aircraft approach and departure procedures enabled by more precise navigation technologies have created noise concentration problems for communities beneath flight tracks. There may be opportunities to reduce community noise impacts under these concentrated flight tracks through advanced operational approach and departure procedures and advanced aircraft technologies. A modeling method to assess their impacts must consider the contributions of aircraft engine and airframe noise sources as they vary with the position, thrust, velocity, and configuration of the aircraft during the flight procedure. The objective is to develop an analysis method to design, model, and assess the community noise reduction possibilities of advanced operational flight procedures performed by conventional aircraft and advanced procedures enabled by future aircraft concepts.<br>An integrated analysis framework is developed that combines flight dynamics and noise source models to determine the community noise impacts of aircraft performing advanced operational approach and departure procedures. Aircraft noise due to the airframe and engine is modeled using an aircraft source noise module as each noise component varies throughout the flight procedure and requires internal engine performance states, the flight profile, and aircraft geometry. An aircraft performance module is used to obtain engine internal performance states and aircraft flight performance given the aircraft technology level. A force-balance-kinematics flight profile generation module converts the flight procedure definition into altitude, position, velocity, configuration, and thrust profiles given flight performance on a segment-by-segment basis.<br>The system generates single-event surface noise grids that are combined with population census data to estimate population noise exposure for a given aircraft technology level and procedure. The framework was demonstrated for both advanced approach and departure procedures and advanced aircraft technologies. The advanced procedure concepts include modified speed and thrust departures as well as continuous descent, steep, and delayed deceleration approaches for conventional aircraft. The ability to model advanced aircraft technologies was demonstrated in the evaluation of using windmilling drag by hybrid electric aircraft on approach to allow the performance of steep and delayed deceleration approaches for noise reduction beyond the performance capability of standard gas-turbine aircraft.<br>by Jacqueline Thomas.<br>Ph. D.<br>Ph.D. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics
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Petrelli, Alissa R. "Influences of Anthropogenic Noise on Flight Initiation Distance, Foraging Behavior, And Feeder Community Structure of Wild Birds." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1829.

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Throughout the world, birds represent the primary type of wildlife that people experience on a daily basis. However, a growing body of evidence suggests that alterations to the acoustic environment can negatively affect birds as well as humans in a variety of ways, and altered acoustics from noise pollution has the potential to influence human interactions with wild birds. In this thesis, I investigated how anthropogenic noise impacts daily behavior as well as community structure of wild birds. In the first component of this thesis, I assessed the distance at which a bird initiates flight or escape behavior (i.e., flight initiation distance or FID) in varying acoustic conditions. I surveyed 12 songbird species from three foraging guilds, ground foragers, canopy gleaners, and hawking flycatchers, and I predicted FIDs to decrease, remain the same, and increase with noise exposure, respectively. Contrary to expectations, the canopy gleaning and flycatching guilds exhibited mixed responses, with some species exhibiting unchanged FIDs with noise while others exhibited increased FIDs with noise. However, FIDs of all ground foraging species and one canopy gleaner decreased with noise levels. In the second component, I examined the feeding of wild birds, an increasingly popular recreational activity throughout North America that promotes increased sense of wellbeing by connecting people with wildlife and nature. I tested how experimental noise influences abundance, species richness, community structure and foraging behavior of songbirds at maintained bird feeders. By measuring activity levels of all species that utilized the feeders exposed to intervals of quiet and noisy conditions, I found noise to be a significant predictor of community turnover. Specifically, noise exposure resulted in increased feeder activity for two species, and decreased activity for one species. I also confirmed previous research conducted in the laboratory indicating white-crowned sparrows decrease their foraging rate under noise conditions, presumably as a trade off with visual vigilance. Considering the interactions of humans and wild birds, the results from my two thesis components indicate that the acoustic environment can play a role in how species of different foraging guilds respond to birdwatchers and what species visit bird feeders.
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Dickson, Crispin. "A few aspects of aircraft noise." Licentiate thesis, Stockholm : Teknisk akustik, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4510.

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Books on the topic "Flight noise"

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Yoshikami, Sharon A. Flight operations: Noise tests of eight helicopters. U.S. Dept. of Transportation, Federal Aviation Administration, 1985.

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2

Newman, J. Steven. International Civil Aviation Organization helicopter noise measurement repeatability program: U.S. test report : Bell 206L-1 noise measurement flight test. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Environment and Energy, 1985.

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Fidell, S. A. Use of airport noise complaint files to improve understanding of community response to aircraft noise. National Aeronautics and Space Administration, Langley Research Center, 1998.

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Chen, Robert T. N. Acoustic flight tests of rotorcraft noise-abatement approaches using local differential GPS guidance. National Aeronautics and Space Administration, Ames Research Center, 1995.

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Chen, Robert T. N. Acoustic flight tests of rotorcraft noise-abatement approaches using local differential GPS guidance. National Aeronautics and Space Administration, Ames Research Center, 1995.

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Brausch, John F. Simulated flight acoustic investigtion of treated ejector effectiveness on advanced mechanical suppressors for high velocity jet noise reduction. Lewis Research Center, 1986.

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Resources, United States Congress Senate Committee on Energy and Natural. National park overflights: Report (to accompany S. 921). U.S. G.P.O., 1987.

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Tubbs, Randy L. Horizon Air, Seattle, Washington. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2004.

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Tubbs, Randy L. Horizon Air, Seattle, Washington. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2004.

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Tubbs, Randy L. Horizon Air, Seattle, Washington. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2004.

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Book chapters on the topic "Flight noise"

1

Klabes, Alexander, Sören Callsen, Michaela Herr, and Christina Appel. "Fuselage Excitation During Cruise Flight Conditions: From Flight Test to Numerical Prediction." In Flinovia—Flow Induced Noise and Vibration Issues and Aspects-II. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76780-2_19.

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Sabatini, Angelo M. "Modeling in-Air Ultrasonic Time-of-Flight Noise." In Acoustical Imaging. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_103.

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Trujillo, Anna C., Eric Greenwood, and Daniel R. Hill. "Helicopter Noise Footprint Depiction During Simulated Flight for Training." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50943-9_70.

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Abdallah, Lina. "Optimal Flight Paths Reducing the Aircraft Noise during Landing." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87477-5_1.

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Breevoort, C. M., C. D. Bailey, and W. M. Pless. "Acoustic Emission Structure-Borne Noise Measurements on Aircraft During Flight." In Acoustical Imaging. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2523-9_63.

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Zatuchny, Dmitry Alexandrovich, Ruslan Nikolaevich Akinshin, Nina Ivanovna Romancheva, Igor Viktorovich Avtin, and Yury Grigorievich Shatrakov. "Mathematical Models of Information Security in Civil Aircraft Flight-Navigation and Computing Systems." In Noise Resistance Enhancement in Aircraft Navigation and Connected Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0630-4_2.

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Haxter, Stefan, and Carsten Spehr. "Wavenumber Characterization of Surface Pressure Fluctuations on the Fuselage During Cruise Flight." In Flinovia—Flow Induced Noise and Vibration Issues and Aspects-III. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64807-7_8.

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Jazarević, Vladimir, and Boško Rašuo. "Numerical Calculation of Aerodynamic Noise Generated from an Aircraft in Low Mach Number Flight." In Lecture Notes in Computational Science and Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67202-1_9.

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Maier-Hein, L., M. Schmidt, A. M. Franz, et al. "Accounting for Anisotropic Noise in Fine Registration of Time-of-Flight Range Data with High-Resolution Surface Data." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15705-9_31.

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Zatuchny, Dmitry Alexandrovich, Ruslan Nikolaevich Akinshin, Nina Ivanovna Romancheva, Igor Viktorovich Avtin, and Yury Grigorievich Shatrakov. "Increase of Noise Immunity of Navigation and Communication Systems of Civil Aircraft During Flights in Mountainous and Urban Areas." In Noise Resistance Enhancement in Aircraft Navigation and Connected Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0630-4_5.

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Conference papers on the topic "Flight noise"

1

Landmann, Alan, Rod Jones, and Adam Malachowski. "Optimizing Flight Deck Noise." In 43rd AIAA Aerospace Sciences Meeting and Exhibit. American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-422.

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Visser, H., and R. Wijnen. "Optimization of noise abatement departure trajectories." In Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-3991.

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Guerin, Sebastien, and Ulf Michel. "Aeroengine Noise Investigated from Flight Tests." In 12th AIAA/CEAS Aeroacoustics Conference (27th AIAA Aeroacoustics Conference). American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-2463.

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HELFRICH-STONE, THOMAS. "Numerical filtering techniques for the reduction of noise in digitaltelemetry data." In 4th Flight Test Conference. American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-2086.

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Anilkumar, A., P. Subb, and M. Ananthasayanam. "Controlled Random Search optimization technique to estimate the process noise in MMLE." In Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4097.

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de Faria Ferreira, Leandro José, Luiz Sandoval Góes, Adolfo Gomes Marto, and Roberto Gil Annes da Silva. "In-flight Output Only Modal Analysis of Aircraft Structural Dynamics." In SAE Brasil Noise and Vibration Conference. SAE International, 2008. http://dx.doi.org/10.4271/2008-36-0536.

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Ghosh, A., S. Raisinghani, and L. Patnaik. "Parameter estimation from flight data with process and measurement noise using neural networks." In Atmospheric Flight Mechanics Conference. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4101.

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Nesbitt, Eric, and Russell Young. "Forward Flight Effects on Chevron Noise Reduction." In 14th AIAA/CEAS Aeroacoustics Conference (29th AIAA Aeroacoustics Conference). American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-3065.

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Wat, J., K. Yamamoto, and R. Golub. "Jet shock noise at high subsonic flight." In 6th Aeroacoustics Conference and Exhibit. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-1957.

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BURRIN, R., K. AHUJA, and M. SALIKUDDIN. "High speed flight effects on noise propagation." In 25th AIAA Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-13.

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Reports on the topic "Flight noise"

1

Gordon, Elmaree, and William A. Ahroon. Noise Levels in the USAARL NUH-60 (Black Hawk) Aeromed Flight Simulator. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada383436.

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Fenimore, Edward E., Thomas David Kunkle, and Richard J. Stead. How Common are Noise Sources on the Crash Arc of Malaysian Flight 370. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1160107.

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Moody, D. M., and J. C. Wang. Deep-Water Noise Created by the Flight of a Vandal Missile Over a Slightly Wavy Ocean Surface. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada456735.

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Gallagher, Hilary L., and Richard L. McKinley. Noise Attenuation Performance of the Joint Service Aircrew Mask (JSAM) Fixed Wing (FW) Variant with Flight Helmets. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada585728.

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Gallagher, Hilary L., and Melissa A. Theis. Noise Attenuation Performance of Flight Helmets in Combination with the Stealth Cup and the Fully-Articulating Air Bladder System (FAABS). Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada589260.

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Gallagher, Hilary L. Fully Articulating Air Bladder System (FAABS) Noise Attenuation Performance in the HGU-56/P and HGU-55/P Flight Helmets. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada597238.

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Gallagher, Hilary L., and Richard L. McKinley. Noise Attenuation Performance of the Joint Service Aircrew Mask (JSAM) Type 1 (MPU-5) Rotor Wing (RW) with Flight Helmets. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada550649.

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Gallagher, Hilary L. Noise Attenuation Performance of the HGU-25/P Flight Deck Helmet Integrated with the Argonaut Headset and CEP-Custom Communication Earplugs. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada590176.

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Gallagher, Hilary L. Passive Attenuating Communication Earphone (PACE): Noise Attenuation and Speech Intelligibility Performance When Worn in Conjunction with the HGU-56/P and HGU-55/P Flight Helmets. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada592092.

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