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Research On Gradation Optimization Of Rubber Power Modified Asphalt Mixture (RPMAM)

Posted on:2014-05-04Degree:MasterType:Thesis
Country:ChinaCandidate:C ZhaoFull Text:PDF
GTID:2252330422461744Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
Rubber power modified asphalt mixture (RPMAM) has an excellent performanceat improving road performance, absorbing noise, and removing ice and snow. For thisreason, it gets more and more wide attention of scholars all over the world. This paperaims at adjusting the grading of rubber power modified asphalt mixture, proposing agrading design method satisfied volume index requirement and pavementperformance requirement, and creating convenient conditions for application ofPRMAM.This paper involves selecting grading style, optimization of coarse aggregategradation, optimization of fine aggregate gradation, and analysis of social benefit ofPRMAM. For selection of grading style, firstly, selecting three common typicalgrading including continuous grading, gap grading, and grading falling in between;secondly, contrasting volume index and pavement performance; finally, confirmingthe best grading style. For the optimization of coarse aggregate gradation, this paperintroduces the CA index from Bailey design method, and adjusting each file ofaggregate by adjusting the CA index. Finally, a best grading curve can be gotten. Forthe optimization of fine aggregate gradation, this paper adopts the method oforthogonal experiment; firstly, key factors were chosen; secondly, test date wasstudied by the range analysis and variance components method; finally, optimal rangeof fine aggregate can be gotten. Combined results of the analysis, a best grading curvecan be gotten. PRMAM can be prepared by using this curve, and its manufacturingtechnique, pavement performance and economic benefit be studied. By comparing theperformance of PRMAM and SBS modified mixture, PRMAM optimized gradingshows great superiority.
Keywords/Search Tags:highway engineering, asphalt pavement, asphalt mixture, rubber power, grading optimization, gradation type, CA index, orthogonal experiment, benefitanalysis
PDF Full Text Request
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