A Psychoacoustic Evaluation of Noise Signatures from Advanced Civil Transport Aircraft

Rizzi, Stephen A.; Christian, Andrew

doi:10.2514/6.2016-2907

Cited by 7 publications

(8 citation statements)

References 6 publications

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“…Finally, with the auralizations generated herein, the question posed in the Introduction can be addressed, i.e., How well do aircraft certification metrics, based on psychoacoustic studies conducted in the 1960s and '70s using measured noise from tube and wing designs with low bypass turbofan engines, reflect the human annoyance of these advanced vehicle concepts? This is the subject of a companion paper, 9 which explores EPNL as a predictor of annoyance to advanced civil transport aircraft noise.…”

Section: Discussionmentioning

confidence: 99%

“…Similarly, the low values of fluctuation strength do not significantly contribute to the wFR term in Eq. (9). Hence, for the cases considered herein, the psychoacoustic annoyance, as expressed by Eq.…”

Section: Psychoacoustic Annoyance Modelmentioning

confidence: 94%

“…The resulting auralizations form the basis of a separate human response study aimed at assessing how well aircraft noise certification metrics predict human annoyance for these advanced vehicle concepts. 9…”

Section: Introductionmentioning

confidence: 99%

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Auralization of NASA N+2 Aircraft Concepts from System Noise Predictions

Rizzi

Burley

Thomas

2016

22nd AIAA/CEAS Aeroacoustics Conference

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Auralization of aircraft flyover noise provides an auditory experience that complements integrated metrics obtained from system noise predictions. Recent efforts have focused on auralization methods development, specifically the process by which source noise information obtained from semi-empirical models, computational aeroacoustic analyses, and wind tunnel and flight test data, are used for simulated flyover noise at a receiver on the ground. The primary focus of this work, however, is to develop full vehicle auralizations in order to explore the distinguishing features of NASA's N+2 aircraft vis-à-vis current fleet reference vehicles for single-aisle and large twin-aisle classes. Some features can be seen in metric time histories associated with aircraft noise certification, e.g., tone-corrected perceived noise level used in the calculation of effective perceived noise level. Other features can be observed in sound quality metrics, e.g., loudness, sharpness, roughness, fluctuation strength and tone-to-noise ratio. A psychoacoustic annoyance model is employed to establish the relationship between sound quality metrics and noise certification metrics. Finally, the auralizations will serve as the basis for a separate psychoacoustic study aimed at assessing how well aircraft noise certification metrics predict human annoyance for these advanced vehicle concepts.

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Section: Discussionmentioning

confidence: 99%

Section: Psychoacoustic Annoyance Modelmentioning

confidence: 94%

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Auralization of NASA N+2 Aircraft Concepts from System Noise Predictions

Rizzi

Burley

Thomas

2016

22nd AIAA/CEAS Aeroacoustics Conference

Self Cite

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“…Noise recommendations are typically based on time-averaged sound level metrics like L den or L night [1], which account for human perception just in a very basic manner. For example, it was shown that a reduced noise level does not necessarily lead to a reduction of noise annoyance [2]. Thus, development has been undertaken to enhance aircraft design using perception-based methods [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Atmospheric Ray Tracing: An efficient, open-source framework for finding eigenrays in a stratified, moving medium

Schäfer

Vorländer

2021

Acta Acust.

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In this paper, an open-source framework for ray tracing in a stratified moving medium is introduced. This framework provides an efficient method to find eigen-rays connecting a source with a receiver and is designed for the purpose of aircraft noise auralization. The method is tested with respect to accuracy and run-time in an aircraft flyover scenario and compared to a state of the art method. The investigation showed that this method provides eigenrays with preset accuracy for source positions most relevant for flyover scenarios and that it is significantly faster than the state of the art method. According to the performance analysis, the presented approach has great potential for integration into future real-time auralizations of aircraft noise.

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“…In order to adequately evaluate the perceived annoyance associated to aircraft noise, subjective evaluations via listening tests are required. Consequently, recent activities of several research entities around the world focuses on the auralization of simulated aircraft noise with subsequent listening tests [13][14][15]. Although this concept is straightforward, due to it's complexity and inherent limitation regarding the number of test cases, it is not applicable to large solution spaces.…”

Section: Introductionmentioning

confidence: 99%

Sound quality assessment of a medium-range aircraft with enhanced fan-noise shielding design

et al. 2021

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The investigation of technologies that can improve the sustainability of the air transport system requires not only the development of alternative fuel concepts and novel vehicle technologies but also the definition of appropriate assessment strategies. Regarding noise, the assessment should reflect the situation of communities living near airports, i.e., not only addressing sound levels but also accounting for the annoyance caused by aircraft noise. For this purpose, conventional A-weighted sound pressure level metrics provide initial but limited information as the level- and frequency-dependency of the human hearing is accounted for in a simplified manner. Ideally, subjective evaluations are required to adequately quantify the perceived short-term annoyance associated with aircraft noise. However, listening tests are time-consuming and not suitable to be applied during the conceptual aircraft design stage, where a large solution space needs to be explored. Aiming at bridging this gap, this work presents a methodology for the sound quality assessment of computational aircraft noise predictions, which is hereby conducted in terms of objective psychoacoustic metrics. The proposed methodology is applied to a novel medium-range vehicle with fan noise shielding architecture during take-off and landing procedures. The relevance of individual sound sources, i.e., airframe and engine noise contributions, and their dependencies on the aircraft architecture and flight procedures are assessed in terms of loudness, sharpness, and tonality. Moreover, the methodology is steered towards community noise assessment, where the impacts on short-term annoyance brought by the novel aircraft design are analysed. The assessment is based on the modified psychoacoustic annoyance, a metric that provides a quantitative description of human annoyance as a combination of different hearing sensations. The present work is understood as an essential step towards low-annoyance aircraft design.

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A Psychoacoustic Evaluation of Noise Signatures from Advanced Civil Transport Aircraft

Cited by 7 publications

References 6 publications

Auralization of NASA N+2 Aircraft Concepts from System Noise Predictions

Auralization of NASA N+2 Aircraft Concepts from System Noise Predictions

Atmospheric Ray Tracing: An efficient, open-source framework for finding eigenrays in a stratified, moving medium

Sound quality assessment of a medium-range aircraft with enhanced fan-noise shielding design

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