000			02845aab a2200277 4500
008			231017b20232023|||mr||| |||| 00| 0 eng d
022			_a0733-9364
100			_aCuciniello, Giacomo _9878749
100			_aInzerillo, Giovanni _9878750
100			_aCorazziari, Livia _9878751
100			_aCiampini, Alessandro _9878752
100			_aDegni, Rossella _9878753
100			_aTorresi, Maurizio _9878754
100			_aLeandri, Pietro _9878755
245			_aModeling the Tire-Pavement Noise as a Regression Function of Speed, Mixture Properties, and Age of the Layer
300			_a1-13 p.
520			_aThis paper focuses on the development of a statistical model that estimates the close proximity level (CPX-L) of bituminous mixtures usable in urban, extraurban, and motorway road networks as a function of survey speed, aggregate gradation, bulk properties, and age of the layer. The proposed equation derives from an existing model developed on Italian urban and extraurban roads whose coefficients were recalibrated through analysis of variance by using data from mixtures used in the Italian motorway network. The original equation was further refined by introducing the age of the layer as a new covariate to predict the durability of the acoustic performance. The age of the layer resulted in a higher statistical relevance than the cumulative traffic for predicting acoustic degradation. A unique aging coefficient of ∼0.03±0.01  dB(A)/month was calculated for dense, porous, and semiporous mixtures installed in similar Italian intermediate-mild climatic regions. This value predicts an increase in the tire-pavement noise of ∼+0.4  dB(A)/year and ∼+2.2  dB(A) in 5 years, which is compatible with other research projects and European noise regulations. The effects of the mixture type were also investigated, providing a negligible variability of +0.3  dB(A)/5  years if only porous and semiporous mixtures are considered. The use of the model is recommended between 50 and 90  km/h, where the current equation explicates almost 94% of the variability and the predicted values show an accuracy compatible with the precision of the CPX method. Future works can contribute to further improving the accuracy and the range of applicability of the model providing also more detailed insights into the acoustic aging of different mixtures.
650			_aTire-Pavement Noise _9878756
650			_aRegression Function _9878757
650			_aSpeed _9878758
650			_aMixture Properties _9878759
650			_aAge fo the Layer _9878760
773	0		_tASCE: Journal of Construction Engineering and Management _x07339364 _dReston,Virginia, U.S.A : American Society of Civil Engineers/ American Concrete Institute
856			_uhttps://doi.org/10.1061/JCEMD4.COENG-13480
942			_2ddc _n0 _cART _o14993 _pMr. Muhammad Rafique Al Haj Rajab Ali (Late)
999			_c814294 _d814294