Reprint of: 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.2022.107547

Cited by 4 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…UAVs will operate closer to ground level and in proximity to dwellings, especially during the last-mile manoeuvres such as take-off, landing and hovering. It is important to take care not only of the outdoors environmental drone noise distribution near the flight path but the noise levels on the façade and the noise levels transmitted inside the buildings [ 4 ]. The literature on drone noise emission has reported that drone noise signature is highly influenced by the type of drone configuration, e.g., number of rotors in multi-copters, size and weight, flight manoeuvres [ 5 , 6 , 7 , 8 ], and also significantly influenced by the ambient weather conditions, most notably the wind [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Requirements for Drone Operations to Minimise Community Noise Impact

Ramos-Romero

Green

Roberts

et al. 2022

IJERPH

View full text Add to dashboard Cite

The number of applications for drones under R&D have growth significantly during the last few years; however, the wider adoption of these technologies requires ensuring public trust and acceptance. Noise has been identified as one of the key concerns for public acceptance. Although substantial research has been carried out to better understand the sound source generation mechanisms in drones, important questions remain about the requirements for operational procedures and regulatory frameworks. An important issue is that drones operate within different airspace, closer to communities than conventional aircraft, and that the noise produced is highly tonal and contains a greater proportion of high-frequency broadband noise compared with typical aircraft noise. This is likely to cause concern for exposed communities due to impacts on public health and well-being. This paper presents a modelling framework for setting recommendations for drone operations to minimise community noise impact. The modelling framework is based on specific noise targets, e.g., the guidelines at a receiver position defined by WHO for sleep quality inside a residential property. The main assumption is that the estimation of drone noise exposure indoors is highly relevant for informing operational constraints to minimise noise annoyance and sleep disturbance. This paper illustrates the applicability of the modelling framework with a case study, where maximum A-weighted sound pressure levels LAmax and sound exposure levels SEL as received in typical indoor environments are used to define drone-façade minimum distance to meet WHO recommendations. The practical and scalable capabilities of this modelling framework make it a useful tool for inferring and assessing the impact of drone noise through compliance with appropriate guideline noise criteria. It is considered that with further refinement, this modelling framework could prove to be a significant tool in assisting with the development of noise metrics, regulations specific to drone operations and the assessment of future drone operations and associated noise.

show abstract

Section: Introductionmentioning

confidence: 99%

Requirements for Drone Operations to Minimise Community Noise Impact

Ramos-Romero

Green

Roberts

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems

Ramos-Romero

Green

Torija

et al. 2023

Aerospace Science and Technology

View full text Add to dashboard Cite

On the aeroacoustics of turbulent boundary layer ingesting propellers

Zaman,

Falsi,

Zang

et al. 2024

Physics of Fluids

View full text Add to dashboard Cite

The present work experimentally examines the aeroacoustic characteristics of a propeller ingesting various planar turbulent boundary layers. The experimental setup consists of a two-bladed propeller, operating at a constant advance ratio, positioned close to a flat plate in the boundary layer ingestion configuration (BLI) with a fixed propeller-plate clearance. To investigate the sensitivities of the far-field noise signature of the BLI configuration to the inflow conditions, three incoming turbulent boundary layers of varying thicknesses and turbulence energy contents were developed. The resulting far-field acoustics and near-field velocity were captured using microphone arrays and hot-wire anemometry. Far-field acoustic results show that increasing the boundary layer thickness, and turbulence contents, sees a significant rise of the broadband components in the mid-frequencies, with strong directivity, a useful property to manipulate during aircraft design. Upstream flow field results confirm that the presence of the propeller induces a mild elevation in both the velocity and its fluctuations within the boundary layers, with the highest increase associated with the thickest boundary layer. Additionally, to understand the distinct acoustic and flow behavior over a revolution of the propeller, i.e., when the propeller is moving in and out of the boundary layer, phase-averaging of the acoustic and velocity signals was performed. The phase-averaged results showed strong pulsation in the steady and unsteady velocities around the propeller and also identified that the peak of the broadband noise generation occurs when the propeller is close to perpendicular to the plate and during peak local velocity perturbation.

show abstract

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

Cited by 4 publications

References 23 publications

Requirements for Drone Operations to Minimise Community Noise Impact

Requirements for Drone Operations to Minimise Community Noise Impact

On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems

On the aeroacoustics of turbulent boundary layer ingesting propellers

Contact Info

Product

Resources

About