首页> 外文会议>Tailings and Mine Waste Management for the 21st Century Conference >The Use of a Large-strain Drying and Consolidation Model to Optimise Multilift Tailing Deposits
【24h】

The Use of a Large-strain Drying and Consolidation Model to Optimise Multilift Tailing Deposits

机译:使用大菌株干燥和固结模型来优化多倍拖尾沉积物

获取原文

摘要

Thin-lift atmospheric fine drying (AFD) is a technique used to dewater mine and oil sand tailings, which utilises both self-weight consolidation and atmospheric evaporation. The disposed layers undergo a cyclic drying and rewetting process due to precipitation and deposition of additional lifts on top of the dried layer. The current research aims to optimise the deposition process via use of a numerical model and realistic atmospheric conditions, including both periods of drying and wetting. The model is based upon water balance and includes large strain considerations. A number of material behaviours are characterised using empirical fitting curves based upon laboratory measurement of material characteristics, including both the shrinkage and water retention curves for drying and rewetting. The model is able to model multiple lifts, simulating field scale and realistic climatic conditions within timescales suitable for engineering practice (eg seconds or minutes). The model has been previously validated against controlled laboratory experiments and utilised to simulate field tests. A series of simulations are presented to illustrate the ability of the model to be used as a practical tool for the optimisation of a tailings deposition strategy.
机译:薄升力大气精细干燥(AFD)是一种用于脱水矿山和油尾矿的技术,其利用自重固结和大气蒸发。由于沉淀和沉积在干燥层的顶部,所设置的层由于沉淀和沉积附加升降而经历循环干燥和重新擦拭过程。目前的研究旨在通过使用数值模型和逼真的大气条件来优化沉积过程,包括干燥和润湿的两段时间。该模型基于水平衡,包括大应变考虑因素。使用基于材料特性的实验室测量,包括基于实验室测量的经验拟合曲线,包括用于干燥和重新润湿的收缩和水保持曲线的经验拟合曲线的特征。该模型能够在适合工程实践(例如秒或分钟)的时间尺寸内模拟多个升降机,模拟现场规模和现实气候条件。该模型以前验证了受控实验室实验并用于模拟现场测试。提出了一系列模拟以说明模型用作优化尾矿沉积策略的实用工具的能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号