Bibliographic Details
| Title: |
露天煤矿含软弱夹层边坡失稳全过程演化特征. |
| Alternate Title: |
Evolution characteristics of whole process of slope instability with weak interlayer in open-pit coal mine. |
| Authors: |
李广贺1,2 li_7118@126.com, 呼子桓2 lntu_hzh@163.com, 王东2, 王来贵3 |
| Source: |
Coal Science & Technology (0253-2336). Jun2026, Vol. 54 Issue 6, p119-133. 15p. |
| Subject Terms: |
*Slope stability, *Landslides, *Structural geology, *Strip mining, *Finite difference method, *Sliding friction |
| Abstract (English): |
Weak interlayers are key factors affecting the stability of open-pit coal mine slopes. To effectively address the technical challenges of landslide geohazard prevention, control, early warning and forecasting, and to ensure safe and efficient open-pit mining, the fullprocess evolutionary characteristics of slope instability with weak interlayers need to be investigated. On the basis of an optimized mesoscopic parameter model for rock discrete elements, a finite difference-discrete element coupled method is used to analyze the evolutionary characteristics of failure paths in slopes with weak interlayers, investigate the dynamic response characteristics of multivariate state parameters at different locations, reveal the temporal correlation characteristics among multivariate state parameters, and establish quantitative relationship models among sliding distance, sliding speed, and landslide body geometric characteristics. The results show that the effective modulus E*, the ratio of normal to shear stiffness K* and the parallel cohesion c′ have significant effects on the elastic modulus E, Poisson's ratio μ and compressive strength σc respectively; In rotational landslide, the multivariate status parameters response time of deep monitoring points is generally earlier than that of surface monitoring points. In the sitting landslide mode, the closer the horizontal distance between the monitoring point and the sliding surface, the earlier its multivariate status parameter response time; the multivariate parameter response time of the same monitoring point is: acoustic emission event number NAE, stress σ, velocity v, kinetic energy Ek, displacement x and gravitational potential energy Ep; the sliding distance s is positively correlated with the slope angle α, the slope height H, and the weak interlayer inclination angle β. The sliding speed vs is negatively correlated with the slope angle α and the weak interlayer inclination angle β, and is positively correlated with the slope height H. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
软弱夹层是影响露天煤矿边坡稳定性的关键因素, 为有效解决滑坡地质灾害防控及预警预报 的技术难题, 实现露天矿山安全高效开采, 有必要对含软弱夹层边坡失稳全过程演化特征展开研究。 在构建岩石离散元细观参数优化模型的基础上, 采用有限差分—离散元耦合方法, 分析含软弱夹层 边坡的破坏路径演化特征, 探究不同位置多元状态参量动态响应特征, 揭示多元状态参量间的时序 关联特性, 并建立滑程、滑速与滑坡体几何特征之间的定量关系模型。结果表明: 有效模量 E *、法 向与剪切刚度比 K *及平行黏聚力 c ′分别对弹性模量 E 、泊松比 μ 与抗压强度 σ c 的影响显著; 坐落式 滑坡模式下, 深部监测点的多元状态参量响应时间普遍早于表面监测点; 在滑体同一水平中, 距离 滑面越近的监测点, 其多元状态参量响应时间越早; 同一监测点的多元状态参量响应时序依次为声 发射事件数 NAE、应力 σ、速度 v 、动能 E k 、位移 x 和重力势能 E p ;滑程 s 与边坡角 α 呈幂函数关系, 与边坡高度 H 呈指数函数关系, 与软弱夹层倾角 β 呈线性函数关系; 滑速 vs 与边坡角 α、软弱夹层 倾角 β 呈指数函数关系, 与边坡高度 H 呈指数函数关系。 [ABSTRACT FROM AUTHOR] |
| Database: |
Energy & Power Source |
