Research On The Effect Of Surface Characteristics Of Asphalt Pavement On Noise Reduction

With the rapid development of highway construction, vehicles is also increasing year by year. By the end of 2013, China has reached 4,356,200 km, while Chinese civilian car ownership has reached 126,701,400. This has brought great role in promoting the economic development, but the attendant traffic noise is becoming a serious problem. Therefore, it has become a serious problem that how to reduce the road traffic noise through the rational design of pavement surface structure within the industry.This paper is want to guide the road design on noise reduction base on study which indicator is the most direct factor on noise reduction from the perspective of the surface characteristics of the asphalt pavement under the premise of a comprehensive collection of information related denoising asphalt pavement bothin domestic and foreign.Firstly, this paper provide a basis for follow-up laboratory experiments through the theoretical analysis on typical asphalt road denoising capacity(OGFC pavement> ultra-thin friction course Novachip> SMA pavement> general dense graded asphalt concrete pavement). Then preliminary reach the standing wave ratio method can reflect the relationship between the road surface condition and the noise through the contrast conventional tire-road noise detection method with stand ing wave ratio method. Then further analysis the feasibility of standing wave ratio method testing noise through the mix design on four kinds of typical asphalt mixture(AC-13 C, SMA-13, Novachip-10, OGFC-13) and the standing wave ratio experiment. Finally, for the abnormal condition problem of the absorption coefficient on SMA-13, the paper added a extra standing wave ratio experiment on CRM to analyze. At last, the paper reach the results that the standing wave ratio method can only reflect the road surface characteristics impact on asphalt pavement denoising, but can not reflect the elastic modulus impact on of asphalt pavement denoising.Then use the above conclusion reach that texture depth may play the most direct impact on asphalt pavement denoising only from the asphalt pavement surface characteristics through the analysis on the relationship between the relevant index of asphalt pavement surface characteristics and absorption coefficien. Then validate it by added standing wave ratio experiment on minimal and maximal te-xture depth. Then reach the initial fitting relationship between the texture depth and the mean value of absorption coefficient: y=0.1014x+0.0725. Finally concluded: the texture depth indeed have the most direct impact on asphalt pavement denoising only from the asphalt pavement surface characteristics.Besides,the paper can make inferences: we can conduct standing wave ratio experiment if conside denoising when design the mixture proportion.But it must be in the case of difference with significance on elastic modulus of asphalt. And when we design the road departure from denoising we should increase the texture depth of road appropriately, or reduce the elastic modulus of the road through various measures(such as increasing aggregate ratio, incorporation of fiber stabilizer or the use of rubber asphalt, etc.).