Quantitative comparison between noise reduction factors of drainage asphalt pavement

Meiarashi, Seishi; Nakashiba, F.; Niimi, H.; Hasebe, Masaki; Nakatsuji, Takashi

doi:10.1016/0003-682x(95)91371-9

Cited by 13 publications

(6 citation statements)

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“…The NRC s for the mixtures reinforced with 1% PP fibers, for example, were 42.6% and 38.95% in the pumping and gravity procedures, respectively, which indicates the higher sound absorption properties of the reinforced specimens as compared to those of plain mixes with NRC values of 10.8% and 9.5%. The reinforced PAFRC mixes’ superior sound absorption ability could be due to the matrix’s linked fibers reflecting sound inside the voids [ 27 , 29 ]. The continuous dispersion and bridging actions of PP fibers are well seen in Figure 7 .…”

Section: Resultsmentioning

confidence: 99%

“…This is because the material’s cavities absorbed the sound energy over inner friction. Moreover, the noise reduction values of pervious and standard asphalt pavements were compared by Meiarashi et al [ 27 ]. They discovered that pervious asphalt reduced noise by 2–5 dB and concluded that keeping the pavement’s porosity at about 20% or greater was critical for noise reduction.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced Acoustic Properties of a Novel Prepacked Aggregates Concrete Reinforced with Waste Polypropylene Fibers

et al. 2022

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This research aimed to investigate the performance of prepacked aggregates fiber-reinforced concrete (PAFRC) with adequate acoustic characteristics for various applications. PAFRC is a newly developed concrete made by arranging and packing aggregates and short fibers in predetermined formworks, then inserting a grout mixture into the voids amongst the aggregate particles using a pump or gravity mechanism. After a one-year curing period, the effects of utilizing waste polypropylene (PP) fibers on the strength and acoustic characteristics of PAFRC mixes were examined. Compressive and tensile strengths, ultrasonic pulse velocity (UPV), sound absorption, and transmission loss were investigated on plain concrete and PAFRC mixtures comprising 0–1% PP fibers. The results revealed that the use of PP fibers slightly decreased the compressive strength and UPV of PAFRC mixes. The inclusion of waste PP fibers also significantly increased the tensile strength and sound insulation coefficient of PAFRC mixes, especially at higher fiber dosages. In the medium-to-high frequency ranges, more than 60% acoustic absorption coefficient was observed, indicating that PAFRC specimens have good sound insulation properties.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced Acoustic Properties of a Novel Prepacked Aggregates Concrete Reinforced with Waste Polypropylene Fibers

et al. 2022

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“…Low-noise pavements (LNPs) are an interesting and economical solution when traffic noise reduction is necessary. Rolling noise emissions for cars are already predominant at very low speeds (30 to 40 km/h), and source-related noise abatement measures are generally much more expensive than propagation measures (1).…”

Section: Mixture Design Optimization Of Low-noise Pavementsmentioning

confidence: 99%

Mixture Design Optimization of Low-Noise Pavements

Losa

Leandri

Licitra

2013

Transportation Research Record: Journal of the Transportation R

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This paper proposes a tool to optimize the mix design of low-noise pavements. An experimental model was developed to predict the rolling noise of a reference car tire as a function of the composition and volumetric characteristics of mixes obtained from in-service pavements. The model enables an analyst to identify which composition parameters need to be altered to improve the acoustic performance of a low-noise pavement. To define the experimental model, several types of asphalt surface layers composed of hot-mix asphalt mixtures with different void contents, different aggregate grading, and different bitumen percentages were analyzed in situ and by laboratory tests. The acoustical properties of pavement surfaces were evaluated by the close-proximity method. The model was defined by using a multivariate nonlinear regression technique to relate composition and volumetric characteristics of asphalt mixtures with rolling noise levels recorded at different speeds. This model, which is a function of several significant parameters of asphalt mixture composition and tire speed, has proved to be highly reliable in predicting car tire rolling noise. Because the model enables the identification of mixture characteristics that require modification in relation to the specific value of the mean traffic speed, it is particularly useful for the optimization of low-noise pavement mix design.

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“…Table 2 summarizes the laboratory sample binder information to help clarify the distinctions between samples in Table 1. A design speed of 50 km/h was chosen for the CPXL calculations because generation of tire-road noise is dominated by traffic noise at speeds higher than 50 km/h, but tire-pavement interaction dominates the generation of tire-road noise below 50 km/h (6). CPXL values at a speed of 50 km/h were calculated by using Equation 3.…”

Section: Data Collectionmentioning

confidence: 99%

Mix Design Factors to Reduce Noise in Hot-Mix Asphalt

Ling

Swiertz

Bahia

2013

Transportation Research Record: Journal of the Transportation R

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Noise generated from high-trafficked roadways is a significant source of noise pollution in urban environments. As population centers continue to expand, so too does the demand for quiet, serviceable pavements. Traffic noise is derived from two basic sources: standard vehicle engine operation and tire–road interaction. Reduction of the former has been a goal of automobile manufacturers since the introduction of automobiles nearly a century ago, but little focused research has been applied to the latter, especially in the United States. Research to determine the mix design factors that significantly influence noise generation in asphalt pavements is almost nonexistent. This study investigates the mix design and construction factors that influence noise generation in dense-graded hot-mix asphalt by means of noise prediction models. Laser profiling systems are used to measure pavement surface texture parameters. Models that predict noise generation as a function of these surface texture parameters are used to demonstrate the sensitivity of noise generation to commonly encountered mix design and construction variables for hot-mix asphalt. After various mixtures produced in the laboratory were characterized and various field sections were profiled, statistical analysis was conducted to determine the effect of mix variables on texture and estimated noise. Results indicate that reduction in noise at the tire–pavement interface can be achieved by considering specific mix design parameters, including gradation, asphalt content, and nominal maximum aggregate size. The percentage of air voids in the mixture (compaction effort) was also found to significantly influence tire–road noise emission.

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Quantitative comparison between noise reduction factors of drainage asphalt pavement

Cited by 13 publications

References 0 publications

Enhanced Acoustic Properties of a Novel Prepacked Aggregates Concrete Reinforced with Waste Polypropylene Fibers

Enhanced Acoustic Properties of a Novel Prepacked Aggregates Concrete Reinforced with Waste Polypropylene Fibers

Mixture Design Optimization of Low-Noise Pavements

Mix Design Factors to Reduce Noise in Hot-Mix Asphalt

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