摘要
为研究道路透水混凝土性能的影响因素,通过透水混凝土抗压强度和孔隙率试验,采用灰色关联分析法,分析了透水混凝土不同因素对抗压强度的影响,以及对孔隙率的影响。研究结果表明:(1)当孔隙率从14%增大到24%时,混凝土的抗压强度减少了53.59%,当粉煤灰掺量从6%增大至16%时,透水混凝土的抗压强度减小了12.58%;(2)在透水混凝土各因素对抗压强度关联度中,水胶比和孔隙率是影响透水混凝土抗压强度的主要因素;(3)将目标孔隙率与实测孔隙率对比分析,实测孔隙率与目标孔隙率相差不大,在透水混凝土各因素对实测孔隙率关联度中,目标孔隙率和水胶比是影响透水混凝土实测孔隙率的主要因素;(4)在透水混凝土配比设计中,建议控制骨料粒径大小和用量,粒径>20 mm的骨料数量应小于总量的5%,同时保持水胶比在0.3左右,根据以上设计可增大透水混凝土强度。
In order to study the factors affecting the performance of pervious concrete on roads,the influence of different factors on compressive strength and porosity of pervious concrete was analyzed by using grey correlation analysis method through the test of compressive strength and porosity of pervious concrete.The results show that:(1)When the porosity increases from 14%to 24%,the compressive strength of concrete decreases by 53.59%;when the fly ash content increases from 6%to 16%,the compressive strength of pervious concrete decreases by 12.58%;(2)In the correlation degree of the compressive strength of pervious concrete,the water-binder ratio and porosity are the main factors affecting the compressive strength of pervious concrete;(3)The comparison between the target porosity and the measured porosity shows that there is little difference between the measured porosity and the target porosity.In the correlation degree between the measured porosity of pervious concrete and various factors,the target porosity and water-binder ratio are the main factors affecting the measured porosity of pervious concrete.(4)In the ratio design of pervious concrete,it is recommended to control the size and amount of aggregate particle size.The amount of aggregate with a particle size>20 mm should be less than 5%of the total amount,while keeping the water-binder ratio at about 0.3.The strength of pervious concrete can be increased according to the above design.
作者
马诚杰
MA Chengjie(Zhongzi Highway Maintenance&Testing Technology Co.,Ltd.,Beijing 100097,China)
出处
《黑龙江交通科技》
2025年第5期21-26,共6页
Communications Science and Technology Heilongjiang
关键词
透水混凝土
抗压强度
灰色关联分析
permeable concrete
compressive strength
grey correlation analysis