A novel approach to the acoustic characterisation of porous road surfaces

Morgan, P A; Watts, G R

doi:10.1016/s0003-682x(03)00085-9

Cited by 22 publications

(9 citation statements)

References 3 publications

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“…The current monitoring systems refer to mobile scanning technologies, such as those based on instrumented vehicles [9], unmanned aerial vehicles, airplanes, and satellites [10], ground penetrating radar [11], traffic speed deflectometer [12], smartphones' accelerometers [13], and non-nuclear density gauges [14]. The main drawback of the above-mentioned technologies refers to the fact that they are focused on the recognition of surface distresses only, or on the derivation of these latter from surface-related parameters (e.g., texture and regularity [15], noise propagation [16], sound absorption [17], and vibration [18]).…”

Section: State Of the Art About Technological Solutions Used To Detecmentioning

confidence: 99%

Detection and Monitoring of Bottom-Up Cracks in Road Pavement Using a Machine-Learning Approach

et al. 2020

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The current methods that aim at monitoring the structural health status (SHS) of road pavements allow detecting surface defects and failures. This notwithstanding, there is a lack of methods and systems that are able to identify concealed cracks (particularly, bottom-up cracks) and monitor their growth over time. For this reason, the objective of this study is to set up a supervised machine learning (ML)-based method for the identification and classification of the SHS of a differently cracked road pavement based on its vibro-acoustic signature. The method aims at collecting these signatures (using acoustic-sensors, located at the roadside) and classifying the pavement’s SHS through ML models. Different ML classifiers (i.e., multilayer perceptron, MLP, convolutional neural network, CNN, random forest classifier, RFC, and support vector classifier, SVC) were used and compared. Results show the possibility of associating with great accuracy (i.e., MLP = 91.8%, CNN = 95.6%, RFC = 91.0%, and SVC = 99.1%) a specific vibro-acoustic signature to a differently cracked road pavement. These results are encouraging and represent the bases for the application of the proposed method in real contexts, such as monitoring roads and bridges using wireless sensor networks, which is the target of future studies.

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Section: State Of the Art About Technological Solutions Used To Detecmentioning

confidence: 99%

Detection and Monitoring of Bottom-Up Cracks in Road Pavement Using a Machine-Learning Approach

et al. 2020

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“…Já a propagação sobre solos acusticamente "macios" (como vegetação, terra arada ou aerada, ou outros solos fissurados) resulta em significativa atenuação do nível sonoro (Bistafa, 2011). Portanto, a simples substituição do material de superfície das vias por asfalto emborrachado poderia reduzir o ruído de rolagem em 8 a 10 dB (A) (Morgan & Watts, 2003). Associada a esta medida, a adoção de barreiras acústicas naturais, com arbustos, por exemplo, também poderia reduzir os níveis de ruído entre 10 e 20 dB (A), se as medidas forem utilizadas de forma conjugada (Costa et al, 2013).…”

Section: Medidas Mitigatóriasunclassified

Influência das transformações urbanas no conforto acústico: estudo-piloto da cidade universitária da UFRJ

Magioli

Torres

2018

urbe, Rev. Bras. Gest. Urbana

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ResumoO objetivo deste trabalho é apresentar uma metodologia para análise da influência das transformações urbanas no conforto acústico de um espaço urbano. Esta avaliação é baseada em um estudo-piloto, utilizando como objeto de análise a Cidade Universitária da Universidade Federal do Rio de Janeiro, na qual diversas transformações urbanas vêm ocorrendo ao longo dos anos, muitas destas definidas pelo Plano Diretor da UFRJ para o ano de 2020. A avaliação do impacto das transformações foi realizada através da comparação dos mapas de ruído produzidos pelas diversas configurações urbanas, principalmente as viárias e morfológicas das edificações. A validação dos mapas foi realizada através da medição dos níveis de pressão sonora nos pontos de interesse. Os mapas foram gerados utilizando dados de contagens veiculares e levantamento da tipologia física local. Os resultados da análise dos mapas, em função das transformações urbanas, permitiram constatar que os níveis de ruído na área estão acima dos recomendados legalmente e identificar as principais causas dessa elevação de ruído. Dessa forma, foi possível realizar uma análise crítica das transformações ao longo do tempo e da configuração espacial atual, para propor medidas mitigadoras da poluição sonora e obter um quadro de maior conforto acústico na Ilha do Fundão, sede da Cidade Universitária da UFRJ. Palavras-chave:Ruído ambiental e urbano. Planejamento urbano. Poluição sonora. Abstract This work aims to present a methodology to analyze the influence of the urban transformation in the acoustic

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“…The ISO 13472-1:2004 method (or Adrienne method, or extended surface method) is based on the recovering of an acoustic impulse response close to the pavement under test (Morgan andWatts 2003, Londhe et al 2009;Lin and Wang 2013).…”

Section: Absorption Coefficientmentioning

confidence: 99%

A study on the dependence of PEMs acoustic properties on incidence angle

Praticò

Vaiana

Fedele

2014

International Journal of Pavement Engineering

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The objective of this paper is to study the variability of on-site acoustic measurements in non-normal conditions, as a function of the angle. A porous European mix was investigated. In order to reject the hypothesis that the cause of the variations in the acoustic properties is the surface inhomogeneity, texture properties were investigated according to the standard ISO 13473-1 and ISO/CD TS 13473-4. The acoustic absorption coefficient was measured according to ISO 13472-1. Results were compared and analysed in terms of averages and standard deviations. Result analyses may allow us to derive how absorption properties may vary as a function of the angle of incidence (under the hypothesis of homogeneous surface texture of the friction course). A tentative theoretical framework for explaining the dependence of acoustic absorption on incidence angle was formulated. The outcomes of this study are expected to benefit both practitioners and researchers.

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A novel approach to the acoustic characterisation of porous road surfaces

Cited by 22 publications

References 3 publications

Detection and Monitoring of Bottom-Up Cracks in Road Pavement Using a Machine-Learning Approach

Detection and Monitoring of Bottom-Up Cracks in Road Pavement Using a Machine-Learning Approach

Influência das transformações urbanas no conforto acústico: estudo-piloto da cidade universitária da UFRJ

A study on the dependence of PEMs acoustic properties on incidence angle

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