Estimation of the minimum measurement time interval in acoustic noise

Liguori, Consolatina; Ruggiero, Alessandro; Russo, Domenico; Sommella, Paolo

doi:10.1016/j.apacoust.2017.05.032

Cited by 21 publications

(4 citation statements)

References 35 publications

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“…Placing the porous sample at a suitable distance from the solid wall is one way to ensure higher sound reflectivity while reducing weight. Applying open-porous materials with an air gap size to reflect sound is advantageous, especially at higher excitation frequencies, because porous (e.g., fibrous and foam) materials exhibit generally good sound absorption properties at high frequencies [ 60 , 61 , 62 , 63 , 64 ]. Furthermore, 3D-printed open-porous PLA material structures are characterized by a relatively high stiffness/weight ratio, resulting in lower production costs.…”

Section: Resultsmentioning

confidence: 99%

Effect of 3D-Printed PLA Structure on Sound Reflection Properties

et al. 2022

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3D printing technique is currently one of the promising emerging technologies. It is used in many areas of human activity, including acoustic applications. This paper focuses on studying the sound reflection behavior of four different types of 3D-printed open-porous polylactic acid (PLA) material structures, namely cartesian, octagonal, rhomboid and starlit structures. Sound reflection properties were evaluated by means of the normal incidence sound reflection coefficient based on the transfer function method using an acoustic impedance tube. In this study, various factors affecting the sound reflection performance of the investigated PLA samples were evaluated. It can be concluded that the sound reflection behavior of the tested PLA specimens was strongly affected by different factors. It was influenced, not only by the type of 3D-printed open-porous material structure, but also by the excitation frequency, the total volume porosity, the specimen thickness, and the air gap size behind the tested specimen inside the acoustic impedance tube.

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Section: Resultsmentioning

confidence: 99%

Effect of 3D-Printed PLA Structure on Sound Reflection Properties

et al. 2022

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“…Literature suggests that estimation of daily indicators can be extrapolated from short time spans when road traffic is the studied source. In [ 36 ], the study of the minimum measurement time interval is conducted for several noise sources including road traffic. However, in our project, continuous measurements are provided; thus, it is not necessary to use short time periods to obtain the hourly and daily indicators.…”

Section: Methodsmentioning

confidence: 99%

On the Impact of Anomalous Noise Events on Road Traffic Noise Mapping in Urban and Suburban Environments

Orga

Álías

Alsina-Pagès

2017

IJERPH

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Noise pollution is a critical factor affecting public health, the relationship between road traffic noise (RTN) and several diseases in urban areas being especially disturbing. The Environmental Noise Directive 2002/49/EC and the CNOSSOS-EU framework are the main instruments of the European Union to identify and combat noise pollution, requiring Member States to compose and publish noise maps and noise management action plans every five years. Nowadays, the noise maps are starting to be tailored by means of Wireless Acoustic Sensor Networks (WASN). In order to exclusively monitor the impact of RTN on the well-being of citizens through WASN-based approaches, those noise sources unrelated to RTN denoted as Anomalous Noise Events (ANEs) should be removed from the noise map generation. This paper introduces an analysis methodology considering both Signal-to-Noise Ratio (SNR) and duration of ANEs to evaluate their impact on the A-weighted equivalent RTN level calculation for different integration times. The experiments conducted on 9 h of real-life data from the WASN-based DYNAMAP project show that both individual high-impact events and aggregated medium-impact events bias significantly the equivalent noise levels of the RTN map, making any derived study about public health impact inaccurate.

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“…road type, grid method, land use and examined temporal factors, e.g. length of recording, number of samples, focused exclusively on noise indices [18][19][20][21]. Therefore, an essential requirement for the application of the soundscape ecology or perception-based approaches is the availability of comprehensive data in urban environments that considers the high temporal and spatial variability of the urban AE.…”

Section: Introductionmentioning

confidence: 99%