Numerical Modeling and Database development for Electrokinetic Dewatering of Ultra Fine Mine Tailings

超细尾矿电动脱水的数值模拟和数据库开发

• 批准号: RGPIN-2016-03700
• 负责人: Shang, Julie
• 金额: $ 1.97万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636235
• 关键词: Numerical; Modeling; Database; development; Electrokinetic

Ultrafine tailings (UFT) have low solid content, high water retention and virtually zero shear strength over long period after disposal. Without treatment, the tailings remain in a fluid state in tailings ponds for decades, reducing efficiency of water recycle, generating environmental impacts and causing delays in mine closure.Currently dewatering of UFT is mainly relying on self-weight consolidation. Existing dewatering technologies, such as chemical additives, vacuum filtration and preloading consolidation, have shown limited success in large scale field applications. The proposed research will address challenges facing the mining industry on disposal and reclamation of mine tailings.

超细尾矿具有固含量低、保水性好、长期抗剪强度为零等特点。尾矿在未经处理的情况下，几十年来一直处于流体状态，降低了水循环效率，对环境造成影响，并导致矿山关闭延迟。目前UFT的脱水主要依靠自重固结。现有的脱水技术，如化学添加剂、真空过滤和预压固结，在大规模现场应用中显示出有限的成功。拟议的研究将解决采矿业在尾矿处置和回收方面面临的挑战。