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首页> 外文期刊>Ecological restoration >Strength Characteristics and Stability Analysis of Ground Granulated Blast Furnace Slag (GGBFS) Stabilized Coal Mine Overburden-Pond Ash Mix
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Strength Characteristics and Stability Analysis of Ground Granulated Blast Furnace Slag (GGBFS) Stabilized Coal Mine Overburden-Pond Ash Mix

机译:地面颗粒高炉渣(GGBFS)稳定煤矿覆盖池粉煤灰混合的强度特征及稳定性分析

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摘要

The increasing quantity of overburden (OB) removal and disposal in external dump needs proper management for active mining operation. Coal consumption in thermal plants generates huge quantity of pond ash thus, requires an alternative mode of ash disposal. In this study, attempt has been made to evaluate different geotechnical properties of OB-pond ash mix at various proportions. Effect of ground granulated blast furnace slag (GGBFS) on compaction characteristics, shear strength parameters, California bearing ratio (CBR) and unconfined compressive strength (UCS) value at different curing period has been presented. It was found that mix proportion containing 78% OB, 10% pond ash, and 12% GGBFS exhibited maximum UCS and CBR value at 28 days curing period. Stability analyses of dump composed of different proportions of OB material, pond ash, and GGBFS were carried out using numerical modelling to suggest the suitable dump profile. It was observed from numerical modelling that dump profile of 60.0 m height and 32 degrees slope angle can be suitably adopted for all mix proportions. Based on the various input parameters, empirical model and multiple regression model have been developed to predict the CBR value and factor of safety respectively. Significance of various input parameters were analysed using sensitivity analysis and found that slope angle is highly sensitive parameters.
机译:在外部倾倒的覆盖层(OB)的覆盖量增加(OB)拆除和处理需要适当的管理积极采矿操作。热电厂中的煤炭消耗产生大量的池灰,因此需要一种替代的灰烬处理方式。在这项研究中,已经尝试以各种比例评估Ob-Pond灰混合物的不同地岩土性质。介绍了地面粒状高炉炉渣(GGBFS)对不同固化期间剪切强度参数,剪切强度参数,加州轴承比(CBR)和非整合抗压强度(UCS)值的影响。发现含有78%OB,10%池灰和12%GGBF的混合比例在28天固化期间表现出最大的UCS和CBR值。使用数值模型进行不同比例的不同比例组成的倾倒的稳定性分析,以建议合适的转储轮廓。从数值模型中观察到,可以适当地采用60.0μm高度和32度倾斜角度的倾倒轮廓和32度倾斜角度。基于各种输入参数,已经开发了经验模型和多元回归模型以分别预测CBR值和安全因子。使用灵敏度分析分析各种输入参数的意义,发现斜率是高度敏感的参数。

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