期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 29, 期 40, 页码 59949-59964出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-20131-2
关键词
Cemented tailings backfill; Strength development; Fly ash; Calcium formate; Uniaxial compressive strength; Ultrasonic pulse velocity
资金
- National Natural Science Foundation of China [52004272, 52061135111, 52122404]
- Natural Science Foundation of Jiangsu Province project [BK20200660]
- China Postdoctoral Science Foundation [2020M680073, 2019M661987]
- Fundamental Research Funds for the Central Universities [2022QN1035]
- Open Sharing Fund for the Large-scale Instruments and Equipment of China University of Mining and Technology project [DYGX-2021-079]
This study utilized neural network modelling to predict the effect of fly ash and calcium formate on the strength development of cemented tailings backfill. Sensitivity analysis and SEM microstructure investigation were conducted to further understand the contributions and mechanisms. The results showed that the combination of fly ash content, calcium formate content, and curing time can accurately predict the strength of the cemented tailings backfill while the influence of curing time was the most significant.
Cemented tailings backfill (CTB) is widely adopted to ensure the safety of underground goafs and mitigate environmental risks. Fly ash (FA) and calcium formate (CF) are common industrial by-products that improve the mechanical performance of CTB. How the coupling of the two components affects the strength development is not yet well-understood. Neural network modelling was conducted to predict the strength development, including the static indicator of uniaxial compressive strength (UCS) and the dynamic indicator of ultrasonic pulse velocity (UPV). Sobol' sensitivity analysis was carried out to reveal the contributions of FA, CF and curing time to CTB strength. SEM microstructure investigation on CTB samples was implemented to reveal the mechanism of strength development and justify the predictions by neural network modelling and sensitivity analysis. Results show that the combination of FA content, CF content and curing time can be used to predict both UCS and UPV while providing adequate accuracy. The maximum of UCS of 6.1215 MPa is achieved at (FA content, CF content, curing time) = (13.78 w%, 3.76 w%, 28 days), and the maximum of UPV of 2.9887 km/s is arrived at (FA content, CF content, curing time) = (11.67 w%, 3.08 w%, 10 days). It is also implicated that prediction of UCS using UPV alone, although common in field application is not recommended. However, UPV measurement, in combination with the information of FA dosage, CF dosage and curing time, could be used to improve UCS prediction. The rank of variable significance for UCS is curing time > FA content > CF content, and for UPV is FA content > curing time > CF content; variable interaction is strongest for FA with CF for UCS development, and for FA with curing time for UPV evolution. Influence of FA on CTB strength development is due to improved polymerisation and consumption of Ca(OH)(2). Influence of CF on strength development is a result of accelerated hydration and increased combined-water content in calcium silicate hydrate (CSH). Effect of curing time is attributed to the evolution of CSH product and pore-water content during cement hydration.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据