Localization of tire/pavement noise source regions

Ruhala, Richard; Burroughs, Courtney B.

doi:10.3397/1.2984149

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…Mid-frequency noise ranges from approximately 200 Hz to 2000 Hz, encompassing tire-road contact noise and noise from some vehicle engines. High-frequency noise primarily exists between 2000 Hz and 20,000 Hz and is mainly composed of car horns and braking noise [36][37][38][39]. Conducting a spectrum analysis of the overall noise allows for the reflection of the amalgamation of all noise sources, accounting for various vehicle types, traffic flows, and vehicle speeds.…”

Section: Overall Traffic Noise Analysismentioning

confidence: 99%

Development and Testing of an Active Noise Control System for Urban Road Traffic Noise

Yang,

Yin,

et al. 2023

Applied Sciences

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As urbanization accelerates, the increasing number of vehicles and travel demands contribute to escalating road traffic noise pollution. Although passive noise control techniques such as noise barriers and green belts effectively mitigate noise, they occupy urban space, exacerbating the scarcity and high cost of already congested city areas. Emerging as a novel noise reduction strategy, active noise control (ANC) eliminates the need for physical isolation structures and addresses the noise within specific frequency ranges more effectively. This paper investigates the characteristics of urban road traffic noise and develops an ANC prototype. Utilizing the Least Mean Squares (LMS) algorithm, we conduct active noise control tests for various types of single- and dual-frequency noise within the prototype’s universal platform to validate its actual noise reduction capabilities. The study demonstrates that urban road traffic noise is mostly in the mid- to low-frequency range (below 2000 Hz). The developed ANC prototype significantly reduces single- or dual-frequency noise within this range, achieving a maximum noise reduction of nearly 30 dB(A). Future research should expand noise reduction tests across more frequency bands and assess the noise reduction effectiveness against real road traffic noise.

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Section: Overall Traffic Noise Analysismentioning

confidence: 99%

Development and Testing of an Active Noise Control System for Urban Road Traffic Noise

Yang,

Yin,

et al. 2023

Applied Sciences

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“…Sound pressure based methods, such as Nearfield Acoustic Holography, sound intensity,o rB eamforming, are sometimes used to identify noise sources during pass-by tests [4,5,6,7,8]. Most of these techniques often encounter difficulties in terms of spatial resolution and accuracyw hen adapting from controlled experiments to industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Sound Pressure Contributions in Pass-By-Noise Tests Using Particle Velocity Sensors

Pignol¹,

Tijs²,

Comesaña³

2016

Acta Acustica united with Acustica

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In conventional pass-by-noise tests, the vehicle noise emission levelisdetermined with amicrophone at aspecifieddistance from atest track while the vehicle drivesby. Although these tests offer asimple approach to assess the overall performance, theydonot yield information about the sources of noise distributed across the vehicle. Methods to determine the influence of local excitations can be useful for manufacturs attempting to apply an effective noise reduction treatment. Acoustic beamforming methods can be applied at high frequencies for moving structures to locate noise, butthey have difficulties quantifying the impact of each source on the sound pressure next to the test track. In this paper,amethod is presented to determine the sound pressure contributions using apanel noise approach based on direct measurements of particle velocity.The sound pressure contribution for separate car positions is calculated by combining the sound radiation and the acoustic transfer path. The time-averaged result, representing the sound radiated from avehicle driving by,isultimately obtained by spatially averaging the contributions at these positions. To validate the methodology,am easurement wasp erformed with as et of loudspeakers mounted on ac ar.T he measurement method and test results are presented, and the advantages and limitations of the novelmethod are discussed.

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“…Ruhala [Ruhala, 1999] modified NAH to incorporate the characteristics of the moving medium and multiple partially coherence sources, evaluating the acoustic field of a rolling tyre on real pavements. Some other papers where Ruhala defines or applies this technique to tyre/pavement noise are for example [Ruhala and Swanson, 2002] or [Ruhala and Burroughs, 2008].…”

Section: Advanced Methods For Research Purposesmentioning

confidence: 99%

Using array based techniques for noise source identification in cars

Garrido¹

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One of the most important noise causes in our cities is the traffic. The noise generated by the vehicles is not only due to the engine, but there are some other noise sources. Among them the tyre/road noise can be highlighted.Coherence and array based techniques have been used in some research to locate the noise causes and identify the main noise sources. Nevertheless, it is not usual in the literature to find the application of this kind of techniques in the car sector. This Thesis starts taking into account the possibility of using this kind of measurement techniques in cars, to demonstrate their feasability and their quality to evaluate the noise sources under two different conditions: when the car is stopped and when it is in movement.Selective Intensity was chosen as coherence technique, evaluating the coherence between the noise in the driver's ears and the intensity radiated in different points of the engine.Array based techniques carry out the best results to noise source location. Statistically Optimized Near-field Acoustical Holography (SONAH) is the measurement technique chosen for noise source location and characterization in the engine at low frequency. On the other hand, Beamforming is the technique chosen in the case of medium-high frequency and to characterize the noise sources when the car is in movement.The proposed techniques not only can be used in actual measurements, but also provide a lot of information and are very versatile to noise source characterization.

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Localization of tire/pavement noise source regions

Cited by 5 publications

References 4 publications

Development and Testing of an Active Noise Control System for Urban Road Traffic Noise

Development and Testing of an Active Noise Control System for Urban Road Traffic Noise

Measurement of Sound Pressure Contributions in Pass-By-Noise Tests Using Particle Velocity Sensors

Using array based techniques for noise source identification in cars

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