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contributor authorBo Li
contributor authorYanhe Kong
contributor authorXuwei Zhu
contributor authorDingbang Wei
contributor authorJie Han
date accessioned2023-08-16T19:15:04Z
date available2023-08-16T19:15:04Z
date issued2023/05/01
identifier otherJMCEE7.MTENG-14924.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292997
description abstractPorous asphalt concrete (PAC) is commonly applied in locations with heavy rainfall. However, because of the mix’s characteristics and service environment, it is impossible to ensure the duration of its permeability performance. This paper explores the aspects that influence PAC’s permeability performance. A comprehensive clogging model is also developed, which includes PAC mix parameters. First, three clogging materials were produced. Second, the effect of nominal maximum aggregate size, porosity, and clogging material on PAC’s permeability is discussed. Finally, models are proposed to predict PAC’s clogging factor β and clogging times N. The results revealed that the remaining PAC mix parameters, except for the nominal maximum aggregate size, were associated strongly with the β and N. The prediction models established for β and N in PAC mixes were highly reliable, with correlation values over 0.90 in all cases. In addition, the mixture parameters that had the greatest influence on the clogging factor β and clogging times N are differed. The uniformity and curvature coefficients influenced the clogging factor β the most, while the initial permeability coefficient affected the clogging times N the most.
publisherAmerican Society of Civil Engineers
titlePrediction Model on Permeability Coefficient of Porous Asphalt Concrete under Repeated Clogging Based on Void Characteristic Parameters
typeJournal Article
journal volume35
journal issue5
journal titleJournal of Materials in Civil Engineering
identifier doi10.1061/JMCEE7.MTENG-14924
journal fristpage04023082-1
journal lastpage04023082-14
page14
treeJournal of Materials in Civil Engineering:;2023:;Volume ( 035 ):;issue: 005
contenttypeFulltext


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