Investigation on material properties and surface characteristics related to tyre–road noise for thin layer surfacings

Li, Mingliang; Keulen, Wim van; Ven, Martin van de; Molenaar, A A A; Guo-qi, Tang

doi:10.1016/j.conbuildmat.2014.02.050

Cited by 17 publications

(10 citation statements)

References 14 publications

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“…This means that the tyre -road noise can be evaluated from the three material properties. According to TABLE 2, the sign of the regression coefficients for the three material parameters are also in accordance with the analysis of the laboratory measurement results described in previous research (13), which 20 means the regression relationship is physically correct.…”

Section: Table 6 Rmse Between the Observed And Predicted Noise Levelssupporting

confidence: 84%

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Statistical model of tyre-road noise for thin layer surfacing

Keulen

Ceylan

et al. 2017

noise cont engng j

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Noise produced from the tyre-road surface interface is one of the most important contributions to the overall traffic noise, and there is an increasing requirement for predicting the trye-road noise leaves prior to road construction in the Netherlands. In practice, a model with a simple structure as well as a high accuracy is applicable in road engineering. And material properties are preferred to be used as input variables of the prediction model, which will facilitate the pavement design. Based on these considerations, models are developed for evaluating the tyre-road noise from the asphalt mixture compositions and road surface characteristics. They are statistical models developed from the measurements on thin layer surfacings in the Netherlands. Different regression methods, model types and input variable combinations are taken into account. The selection of the model is due to the fitness of the prediction and validation by using measurement data from in service road sections. Two models are finally selected which evaluate the tyre-road noise level from the surface characteristics and from material properties respectively. By using these models, only a small number of input variables are required and liable predictions can be provided. The models achieved in this study can be used for predicting the tyre-road noise generation in road engineering and investigating the influence of surface characteristics and material properties on tyre-road noise levels.

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Section: Table 6 Rmse Between the Observed And Predicted Noise Levelssupporting

confidence: 84%

“…2) Material properties and the surface characteristics measured on thin layer surface samples in the laboratory of Delft University of Technology. Details about the measurement methods and test results refer to authors' previous work (13).…”

Section: Figure 1 Three Models For Predicting Tyre -Road Noise Levelsmentioning

confidence: 99%

Statistical model of tyre-road noise for thin layer surfacing

Keulen

Ceylan

et al. 2017

noise cont engng j

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“…The first five test sections (1)(2)(3)(4)(5) are measured by BRRC, and the last five test sections (6-10) are measured by AWV. A few measurement points have been measured yearly by both operators in order to establish possible differences in the measurement equipment and operators.…”

Section: Spbmentioning

confidence: 99%

The Acoustical Durability of Thin Noise Reducing Asphalt Layers

2016

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Abstract:Within the context of the European Noise Directive, traffic noise action plans have been established. One of those actions is to deepen the knowledge about low noise roads, as they are considered the most cost-efficient measure for traffic noise abatement. Therefore, ten test sections were installed in May 2012 in Belgium, with the objective of integrating Thin noise-reducing Asphalt Layers (TAL) in the Flemish road surface policy in a later stage. Eight test sections are paved with TAL with a thickness of a maximum of 30 mm and a maximum content of accessible voids of 18%. The other two sections consist of a Double-layer Porous Asphalt Concrete (DPAC) and a Stone Mastic Asphalt (SMA-10 as a reference section). The acoustical quality of the asphalt surfaces has been monitored in time using Statistical Pass-By (SPB) and Close-ProXimity (CPX) measurements up to 34 months after construction. Texture measurements performed with a laser profilometer are linked to the noise measurement results. Very promising initial noise reductions were found, up to 6 dB(A), but higher than expected acoustic deterioration rates and the presence of raveling led to noise reductions of a max. of 1 dB(A) after almost three years. It is shown that the construction process itself has a large influence on the acoustical quality over time.

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“…Traffic and other types of road traffic noise have long attracted significant research interest (e.g. Ambrosio et al 2014;Banerjee et al 2014;Bocquier et al 2014;Bueno et al 2014;Dai et al 2014;Kouroussis et al 2014;Li et al 2014;Sygna et al 2014). In Hong Kong, many elevated bridges are built on top of the existing roads to mitigate the traffic congestion.…”

Section: Introductionmentioning

confidence: 99%

The correlation between the noise and vibration induced by a bridge movement joint

Wong

Lee

et al. 2014

The Baltic Journal of Road and Bridge Engineering

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This study addresses the research on the noise and vibration correlation of a bridge movement joint. The aim of this research is to assess the noise induced by the vibration of a bridge movement joint without lane closure during the operation period. There are two methods of developing the correlation between the tyre/joint noise and vibration: (i) Direct Sound and Vibration Measurement Method, (ii) Acoustic-Box-in-Vehicle Method. The first one is the measurements of the vibration change at a bridge movement joint and roadside noise change induced when a control vehicle is passing it (this one requires lane closure). The correlation between the vibration change and roadside noise change is plotted according the measurement data. The second one is the measurements of the structure-borne noise change in an acoustic box installed into the control vehicle and roadside noise change induced. Similarly, the correlation between the structure-borne noise change and roadside noise induced is plotted. It is found that the two correlations are linear and similar to each other, even though the roadside noise is nonlinearly increasing against the control vehicle speed.

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Investigation on material properties and surface characteristics related to tyre–road noise for thin layer surfacings

Cited by 17 publications

References 14 publications

Statistical model of tyre-road noise for thin layer surfacing

Statistical model of tyre-road noise for thin layer surfacing

The Acoustical Durability of Thin Noise Reducing Asphalt Layers

The correlation between the noise and vibration induced by a bridge movement joint

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