Assessment of UAM and drone noise impact on the environment based on virtual flights

Bian, Haoyu; Tan, Qichen; Zhong, Siyang; Zhang, Xin

doi:10.1016/j.ast.2021.106996

Cited by 32 publications

(7 citation statements)

References 23 publications

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“….) and the broadband noise OASPL band from f L to f H were calculated with Equations ( 6) and (7) to estimate the energy consumption of the tonal component and the average broadband noise. Obviously, as shown in Figure 11, the acoustics of the loop-type propellers (#3 and #4) and four-blade propeller (#2) are characterized by the lower-level tonal noise components at BPFs but the two-blade propellers (#1 and #5) by more tonal noise.…”

Section: Tonal Noise and Broadband Noisementioning

confidence: 99%

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Integrated Evaluation of the Aeroacoustics and Psychoacoustics of a Single Propeller

Sun

Yonezawa

Shima

et al. 2023

IJERPH

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Aeroacoustic noise in multiple rotor drones has been increasingly recognized as a crucial issue, while noise reduction is normally associated with a trade-off between aerodynamic performance and sound suppression as well as sound quality improvement. Here, we propose an integrated methodology to evaluate both aeroacoustics and psychoacoustics of a single propeller. For a loop-type propeller, an experimental investigation was conducted in association with its aerodynamic and acoustic characteristics via a hover stand test in an anechoic chamber; the psychoacoustic performance was then examined with psychoacoustic annoyance models to evaluate five psychoacoustic metrics comprising loudness, fluctuation strength, roughness, sharpness, and tonality. A comparison of the figure of merit (FM), the overall sound pressure level (OASPL) and psychoacoustic metrics was undertaken among a two-blade propeller, a four-blade propeller, the loop-type propeller, a wide chord loop-type propeller, and a DJI Phantom III propeller, indicating that the loop-type propeller enables a remarkable reduction in OASPL and a noticeable improvement in sound quality while achieving comparable aerodynamic performance. Furthermore, the psychoacoustic analysis demonstrates that the loop-type propeller can improve the psychological response to various noises in terms of the higher-level broadband and lower-level tonal noise components. It is thus verified that the integrated evaluation methodology of aeroacoustics and psychoacoustics can be a useful tool in the design of low-noise propellers in association with multirotor drones.

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Section: Tonal Noise and Broadband Noisementioning

confidence: 99%

“…UAVs have emerged as useful platforms for flying over or hovering in cities where urban populations live. However, given the rapidly increasing needs and applications of various drones, a crucial issue that has emerged is the rotor noise, which seriously disturbs the environment and community [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Integrated Evaluation of the Aeroacoustics and Psychoacoustics of a Single Propeller

Sun

Yonezawa

Shima

et al. 2023

IJERPH

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“…Drones equipped with specialized sensors, such as multispectral and thermal cameras, contribute to a comprehensive environmental impact assessment in architectural design (Bian et al, 2021;Choi et al, 2016;Duan et al, 2019;Bor-Yaliniz et al, 2017;Kim, 2018;Alsamhi et al, 2022). These sensors detect factors like heat distribution, vegetation health, and pollution levels, providing architects with data to evaluate the ecological impact of their designs and ensure compliance with environmental regulations.…”

Section: Environmental Impact Assessmentmentioning

confidence: 99%

Leading-Edge Technologies for Architectural Design: A Comprehensive Review

Rane,

Choudhary,

Rane

2023

IJARP

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In architecture, the incorporation of state-of-the-art technologies is crucial for advancing design methodologies and achieving groundbreaking solutions. This exhaustive review delves into a diverse array of cutting-edge technologies reshaping the architectural design landscape. The scrutinized technologies not only amplify the efficiency of design processes but also contribute to the development of sustainable, adaptable, and technologically advanced built environments. Commencing with an exploration of Artificial Intelligence (AI) in architectural design, the paper underscores how machine learning algorithms and neural networks are revolutionizing the conceptualization and optimization of architectural forms. Emphasis is placed on AI's capacity to analyze extensive datasets, predict design trends, and generate alternative designs, thereby fostering creativity and streamlining the design process. The immersive potential of Virtual Reality (VR) and Augmented Reality (AR) in architecture is thoroughly examined. The paper elucidates how these technologies are not only transforming the visualization of designs but also facilitating collaborative design processes, enabling stakeholders to experience spaces before the commencement of construction. Parametric Design and Computational Modeling are scrutinized extensively, showcasing their pivotal role in crafting intricate and optimized structures. The exploration extends to Building Information Modeling (BIM), elucidating its significance in promoting collaboration, reducing errors, and streamlining the entire building lifecycle. Moreover, Sustainable Building Materials and Technologies, Generative Design, ChatGPT, 3D/4D/5D/6D Printing, Responsive Architecture, Drones and Aerial Imaging, Digital Twin Technology are focused. Smart Building Systems, integrating IoT technologies, are explored for their role in enhancing building performance, energy efficiency, and occupant comfort.

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“…Researchers have therefore extended their investigation to consider multipath and diffraction phenomena affecting UA noise in urban environments. Bian et al [33] have conducted a parametric study using a Gaussian beam tracing solver to assess the noise impact of UAs in a realistic environment. The acoustic field at observer points, which are mostly at distances greater than 10 times the rotor radius, is determined by modelling the expansion of multiple Gaussian beams.…”

Section: Multipath and Diffraction Around Obstaclesmentioning

confidence: 99%

Sound Propagation Modelling for Manned and Unmanned Aircraft Noise Assessment and Mitigation: A Review

et al. 2021

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This paper addresses one of the recognized barriers to the unrestricted adoption of Unmanned Aircraft (UA) in mainstream urban use—noise—and reviews existing approaches for estimating and mitigating this problem. The aircraft noise problem is discussed upfront in general terms by introducing the sound emission, propagation, and psychoacoustic effects. The propagation of sound in the atmosphere, which is the focus of this paper, is then analysed in detail to isolate the environmental and operational factors that predominantly influence the perceived noise on the ground, especially looking at large-scale low-altitude UA operations, such as in the envisioned Urban Air Mobility (UAM) concepts. The physics of sound propagation are presented, considering all attenuation effects and the anomalies due to Doppler and atmospheric effects, such as wind, thermal inversion, and turbulence. The analysis allows to highlight the limitations of current mainstream aircraft noise modelling and certification approaches and, in particular, their inadequacy in addressing the noise of UA and, more generally, UAM vehicles. This finding is important considering that, although reducing noise at the source has remained a priority for manufacturers to enable the scaling up of UAM and drone delivery operations in the near future, the impact of poorly considered propagation and psychoacoustic effects on the actual perceived noise on the ground is equally important for the same objective. For instance, optimizing the flight paths as a function of local weather conditions can significantly contribute to minimizing the impact of noise on communities, thus paving the way for the introduction of full-scale UAM operations. A more reliable and accurate modelling of noise ground signatures for both manned and unmanned low-flying aircraft will aid in identifying the real-time data stream requirements from distributed sensors on the ground. New developments in surrogate sound propagation models, more pervasive real-time sensor data, and suitable computing resources are expected to both yield more reliable and effective estimates of noise reaching the ground listeners and support a dynamic planning of flight paths.

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Assessment of UAM and drone noise impact on the environment based on virtual flights

Cited by 32 publications

References 23 publications

Integrated Evaluation of the Aeroacoustics and Psychoacoustics of a Single Propeller

Integrated Evaluation of the Aeroacoustics and Psychoacoustics of a Single Propeller

Leading-Edge Technologies for Architectural Design: A Comprehensive Review

Sound Propagation Modelling for Manned and Unmanned Aircraft Noise Assessment and Mitigation: A Review

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