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可视化分析用于沥青混合料的配合比设计
引用本文:孙益民,徐玲,张虎,王俊,卢锋.可视化分析用于沥青混合料的配合比设计[J].辽宁交通科技,2014(1):60-63,66.
作者姓名:孙益民  徐玲  张虎  王俊  卢锋
作者单位:[1]安徽师范大学化学与材料科学学院,芜湖241000 [2]安徽三缔沥青材料有限公司,阜阳236000
基金项目:安徽省教育厅自然科学基金重点项目(KJ2011A149);“开级配结构室温沥青材料混料研究”;科技部科技型中小企业技术创新基金(11C26213401894);芜湖市2012年科技计划项目“道路沥青材料再生技术研发及产业化”
摘    要:运用自主提出的“多因素多水平可视化设计方法”安排4种不同粒径的石料和粉料按比例混合,实施试验,对马歇尔稳定度性能指标进行了研究,并用“多因素多水平可视化分析”方法对多维空间试验数据进行分析,得到沥青混合料配合比的最佳工艺范围:C1 >51%、30%< C2< 35%、C3 <5%、C4 >6%、O/S< 5.8%.验证试验:C1 =52%、C2 =31%、c3=2%、C4 =6.5%、M=3%、O/S =5.5%条件下,马歇尔稳定度值达到25.671kN,可见优化区域可信有效.

关 键 词:沥青混合料  马歇尔稳定度  多因素多水平可视化分析

Visual Analysis for Design of Mixing Proportion of Asphalt Mixture
Abstract:Method of muhifactor and multilevel visual design presented by our research group was used to arrange the experiments with proportion of stone of 4 different sizes and mine. The experiments were carried out and the Marshall Stability was investigated. The multifactor and multilevel visual analysis was applied in the analysis of multidimensional data of experiment, the best formula of asphalt mixture and the ratio of stone was found and its optimized ranges were as follows: C1 〉51%, 30% 〈C2 〈35%, C3 〈5%, C4 〉6%, O/S 〈5.7%. The verification test: C1 =52%, C2 =31%, C3 =2%, Cd =6.5%, M =3%, O/S =5.5%, the Marshall Stability reached25. 671kN. The optimized area is credible and effective.
Keywords:Asphalt mixture  Marshall stability  Muhifactor & multilevel visual analysis
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