摘要
为提高废旧粘土砖活性,将废砖破碎、粉磨后进行活性激发,制得建筑垃圾复合粉体材料(Construction waste composite powder materials,CWCPM)。为进一步研究CWCPM作为混凝土掺合料的可行性,首先研究不同因素对掺CWCPM混凝土抗压强度及孔结构参数的影响规律。然后,分析孔隙参数、孔径分布参数与抗压强度之间的关系。最后,基于多元回归理论,建立同时考虑孔隙参数与孔径分布参数的掺CWCPM的混凝土的抗压强度-孔结构关系模型。结果表明,CWCPM的掺入降低了混凝土7 d抗压强度。当CWCPM掺量不高于30%时,试件28 d强度高于基准试件,CWCPM可作为混凝土掺合料进行再生利用。总孔隙面积越大,总孔隙量、平均孔径和孔隙率越小,混凝土抗压强度越高。抗压强度与毛细孔及大孔数量均为负相关关系,而与凝胶孔及过渡孔含量之间未表现出显著的定量关系。考虑孔隙参数与孔径分布的抗压强度-孔结构模型可准确地预测掺CWCPM的混凝土的抗压强度。
In order to improve the activity of waste brick,compounded it with fly ash,mineral powder and alkali-activator to form the construction waste composite powder materials(CWCPM).For further study the feasibility of CWCPM as concrete admixture,studied the pore structure of differe-nt concretes mixed with CWCPM by the method of mercury injection,analyzed the relationship between compressive strength of the concrete and pore parameters,pore size distribution,set up compressive strength-pore structure prediction model through multiple regression by considering the pore parameters and pore size distribution.Results show that CWCPM reduces 7 d compressive strength of the specimen;when its dosage is less than 30%,the 28 d compressive strength is higher than that of the control specimen;the greater total pore area and the smaller total pore volume,average pore diameter and porosity indicate higher strength value;the compressive strength shows a negative correlation with the number of capillary pore and large pore,and has no obvious relation with the number of gel pore and transition pore;the compressive strength-pore structure model which considers the pore parameters and pore size distribution can accurately predict the compressive strength of concrete mixing with CWCPM.
作者
薛翠真
申爱琴
郭寅川
XUE Cuizhen;SHEN Aiqin;GUO Yinchuan(School of Civil Engineering,Lanzhou University of Technology,Lanzhou 730050;School of Highway,Chang'an University,Xi'an 710064)
出处
《材料导报》
EI
CAS
CSCD
北大核心
2019年第8期1348-1353,共6页
Materials Reports
基金
交通运输部西部项目(2013318J16490)
中央高校基本科研业务费专项资金(310821165012)~~
关键词
建筑垃圾复合粉体材料
力学性能
孔结构
多元回归
预测模型
construction waste composite powder materials
mechanical property
pore structure
multiple regression
prediction model
