摘要
超细尾砂已成为充填材料的主要来源。为了便于充填料浆配合比设计与强度预测,基于超细料浆微观结构,提出用固体填充率表征充填料浆结构密实程度。选用某矿山超细尾砂进行了63组配合比强度试验。研究结果表明:固体填充率和水灰比与充填体无侧限强度分别呈指数函数和负幂函数关系。采用Pearson理论对试验样本进行相关性分析,结果表明:固体填充率与水灰比相互独立。在此基础上,建立了超细尾砂胶结充填体双变量强度计算模型,模型计算值与试验值的误差在7%以内。进行了超细尾砂胶结体强度随养护时间增长的试验,基于试验数据拟合规律,提出了强度龄期数学模型,建立了三变量强度计算公式。模型能准确预测矿山充填体强度,且能有效指导矿山充填料浆设计。
Ultra-fine tailings have become the main source of filling materials. In order to facilitate mixture ratio design and strength prediction of filling slurry, based on the microstructure of ultra-fine slurry, solid filling rate is used to characterize the structure of filling slurry. 63 sets of proportioning strength tests are carried out on ultrafine tailings of a mine. The results show that the solid filling rate and water cement ratio have exponential and negative power functions relation with the unconfined strength of the filling body respectively. The correlation between the solid filling rate and the water cement ratio is obtained by using the Pearson theory. It is found that the solid filling rate and the water cement ratio are independent of one another. Then on this basis, a double variable strength calculation model of ultra-fine tailings cemented hydraulic fill is developed. The error between the calculated value and the experimental value is less than 7%. Besides, experiments on the strength of ultra-fine tailings cemented body with curing time are carried out. A mathematical model of strength-age and a formula for calculating the strength of three variables are established using the fitting law of the experimental data. The developed model not only predicts the strength of mine filling body accurately, but also guides the preparation of mine filling slurry effectively.
作者
付自国
乔登攀
郭忠林
李克钢
谢锦程
王佳信
FU Zi-guo;QIAO Deng-pan;GUO Zhong-lin;LI Ke-gang;XIE Jin-cheng;WANG Jia-xin(Key Laboratory of Deep Rock Mechanics and Safety in Metal Mines,Kunming University of Science and Technology,Kunming,Yunnan 650093,China)
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2018年第9期3147-3156,共10页
Rock and Soil Mechanics
基金
国家自然科学基金(No.51164016
No.41672303)
甘肃省科技重大专项计划项目(No.1203GKDC003)~~
关键词
超细尾砂
微观结构
固体填充率
胶结充填体
强度模型
预测优化
ultra-fine tailings
microstructure
solid filling rate
cemented hydraulic fill
strength model
prediction optimization
