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基于可视化分析的聚合物透水混凝土抗压性能研究

Study on Compressive Properties of Polymer Pervious Concrete Based on Visual Analysis
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摘要 选取构成透水混凝土的水泥用量、用水量、骨料级配、VAE(醋酸乙烯—乙烯)聚合物掺加量、SAP聚合物掺加量作为试验的主要影响因素,采用多因素多水平的均匀试验法设计法,以一种可视化的方法——M^(2)VA法分析试验结果,在满足透水性的前提条件下,以聚合物透水混凝土的抗压性能作为试验评定指标,对其配合比设计进行优化。试验结果表明,抗压强度受5个影响因素影响的顺序由强到弱分别为:用水量>骨料ST 1>水泥>VAE>SAP。符合良好抗压性能的适宜配合比为:用水量92.7~105.1 L/m^(3),骨料用量1275 kg/m^(3),ST1∶ST2=3∶1,水泥用量235~260 kg/m^(3),VAE掺量约为水泥用量的10%,SAP不掺或少掺,如此可以得到满足路用抗压性能要求的透水混凝土材料。 The study selects the cement content,water consumption,aggregate gradation,VAE(vinyl acetate ethylene)polymer addition,and SAP polymer addition that constitute permeable concrete as the main influencing factors for the test.A multifactor and multi-level uniform test method,and M^(2)VA method as a visual analysis method are used to analyze test results.On the premise of satisfying the permeability,the mix design of polymer permeable concrete is optimized using the compressive performance of polymer permeable concrete as an experimental evaluation index.The results show that the order of influence of five factors on compressive strength is:water consumption>aggregate ST1>cement>VAE polymer>SAP polymer.The suitable mix proportion for good compressive performance is:water consumption is 92.7l~105.1 l/m^(3),aggregate consumption is 1275 kg/m^(3),ST1∶ST2=3∶1,cement consumption is about 235~260 kg/m^(3),VAE content is about 10%of cement consumption,SAP is not mixed or less mixed.In this way,the pervious concrete material that can meet the requirements of compressive performance for road use can be obtained.
作者 胡朝峰 陈秀玲 葛根旺 潘随伟 Hu Zhaofeng;Chen Xiuling;Ge Genwang;Pan Suiwei(MaGang Group Design&Research Institute CO.,Ltd.,Ma’anshan 243000,China;School of Architectural and Civil Engineering,Ma’anshan University,Maanshan 243000,China)
出处 《黑龙江科学》 2023年第16期42-46,共5页 Heilongjiang Science
基金 安徽省住房城乡建设科学技术计划项目(2021-YF68) 安徽省住房城乡建设科学技术计划项目(2021-YF69) 马鞍山学院校级科研重点项目(QS2022002)。
关键词 透水混凝土 抗压强度 均匀试验 M2VA法 可视化分析 Pervious concrete Compressive strength Uniform test M 2 VA method Visual analysis
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