尾矿坝溃灾泥流运移机制及其全寿命周期预测模型研究
批准号:
52104138
项目类别:
青年科学基金项目(C类)
资助金额:
30.0 万元
负责人:
王昆
依托单位:
学科分类:
矿山开采工程
结题年份:
2024
批准年份:
2021
项目状态:
已结题
项目参与者:
王昆
中文摘要
我国尾矿年排超12亿吨,现存尾矿库7800座、风险防控形势复杂严峻,溃坝灾害应急基础理论技术需求导向突出。本项目基于两相流理论与地灾泥石流领域研究进展,瞄准尾矿坝溃灾应急背后泥流运移机制基础科学问题,采用“案例分析、工程调研、室内试验、相似模拟、理论分析、数值仿真”相结合的研究方案,引入旋转水槽试验、PIV粒子图像测速系统、SPH算法、无人机遥感等前沿技术,通过典型溃灾案例剖析与室内正交试验研究揭示尾砂级配、溃灾模式等因素与泥流物理特性的关联规律;研制试验模型深入研究颗粒输移规律、固液相分界粒径及其相互作用机制;基于固液相本构与SPH算法提出考虑地形因素的尾砂泥流运移模拟预测方法,并构建面向溃灾应急决策的工程应用技术框架。预期成果应用场景可贯穿尾矿库规划设计-施工建设-生产运营-闭库治理全寿命周期,为选址论证、扩容加高、应急处置、灾情研判等环节提供理论依据,具有重要科学价值与现实意义。
英文摘要
The annual discharge amount of mine waste tailings in China is over 1.2 billion tons. And the risk control situation of the documented 7800 tailings ponds is then considered to be complex and severe. Therefore, the demand for both the fundamental theories and technologies of dam breach disaster emergency management is highlighted. Based on the research progress in two-phase flow and natural hazards debris flow, the project is proposed aiming at the basic scientific problems of tailings mudflow migrating mechanism, behind the dam breach emergency management dilemma. The research scheme that combines case study, engineering investigation, laboratory test, similar simulation, theoretical analysis and numerical simulation is proposed. The state-of-the-art technologies of rotating plate test, particle image velocimetry system, SPH numerical method and UAV Remote Sensing will be adopted. The correlation law between the tailings mudflow physical characteristics and its impact factors (tailings grain size distribution, dam breach mode etc.) will be revealed, through the typical cases analysis and indoor orthogonal tests. The particles migrating law, the solid-liquid boundary size and the particles interaction mechanism will be studied by developing similar testing models. Meanwhile, the numerical prediction model considering real terrains will be proposed based on the solid-liquid constitutive model and SPH method. And finally, the application framework for the tailings dam breach emergency management decision making will be built. The application scenarios of the research outputs will cover the whole life-cycle processes of tailing pond planning, design, construction, operation, closure and further treatments. Thus, the fundamental theoretical basis for the decision making of site planning, capacity expansion, emergency response, disaster situation and so on can be provided respectively, which is highly important in both aspects of scientific value and practical significance.
本研究聚焦尾矿库溃坝风险防控这一重大安全问题。尾矿库是具备高势能的人造泥石流重大危险源,我国年排放尾矿量超十亿吨,现存在用尾矿库近5000座,溃灾风险防控形势依然严峻,溃坝灾害应急基础理论技术研究需求导向突出。本研究引入旋转水槽试验、SPH算法、无人机遥感等前沿技术方法,系统开展了尾矿坝溃灾机理及应急防控技术研究,开展的主要研究内容包括:建成了尾矿坝溃灾案例信息数据库TDBD(Tailings Dam Breach Database),整理收录了从1915至2025年间48个国家地区的379起尾矿坝事故案例,分析了典型案例研究溃坝模式、库容坝高与泥流释放进程,揭示了地形高差、坡度坡形、湿度指数等地形因子对泥流运移过程及沉积范围的影响规律;开展了粒径和浓度对尾矿泥流流变性质的影响试验研究,测定了不同条件下尾矿泥流运移流变模型,进而提出了基于泥流流变性质的溃坝灾害泥流分类方法,为尾矿坝溃坝分析TDBA方法的改进奠定了基础;通过自制旋转水槽与沟槽模型相似模拟试验研究了尾矿泥流运移过程流态与动力演化特性;基于无人机遥感与SPH算法研发了考虑下游精细地形的溃灾泥流运移TDBA预测分析方法,建立了覆盖尾矿库设计建设、加高扩容、应急措施论证、闭库管理等全生命周期的溃灾风险预测分析技术框架,并在国内典型尾矿库开展工程案例验证研究。本研究有助于尾矿库溃坝灾害风险防控基础理论与技术的进步。
国内基金
海外基金