硅酸盐通报2017，Vol.36Issue(11)：3841-3847,7.
钢渣对矿渣基高水充填材料性能的影响及强度预测
Influence of Steel Slag Content on Portland Based High-water Backfilling Materials and Strength Forecasting
摘要
Abstract
The steel slag,portland slag,iron tailings and other solid waste were utilized for portland based high-water backing materials. With the establishment of strength prediction model of BP neural network with orthogonal test samples, the compressive strength of 15% and 25% steel slag content were predicted,the influence of steel slag content on mechanical performance of high-water backing materials was analyzed,the influence on hydration products in different curing periods was analyzed. The results show that the model of BP neural network with orthogonal test samples could be used to predict strength;with the content of steel slag increased,the compressive strength of samples reduced,water absorption increased,shrinkage rate increased after decreased;with curing periods increased,the diffraction peaks of quartz,portlandite and larnite became passivated,the diffraction peaks of calcite,hydrocalumite,C-S-H(I)and meixnerite became sharp.关键词
钢渣基/高水充填材料/力学性能/水化产物Key words
steel slag based/high-water backfilling material/mechanical performance/hydration product分类
矿业与冶金引用本文复制引用
董越,杨志强,高谦..钢渣对矿渣基高水充填材料性能的影响及强度预测[J].硅酸盐通报,2017,36(11):3841-3847,7.基金项目
国家高技术研究发展计划(863计划)(SS2012AA062405) （863计划）
