水力发电2026，Vol.52Issue(6)：28-36,105,10.
基于SPH方法的废弃煤矿抽水蓄能地下水库扩容开挖模拟研究
Simulation on Expansion Excavation of Underground Pumped Storage Reservoirs in Abandoned Coal Mines Based on SPH Method
摘要
Abstract
The abandoned coal mine-based pumped-storage hydropower(PSH)technology offers significant advantages over conventional PSH systems.Taking the Daliuta Coal Mine as engineering background,using the Smoothed Particle Hydrodynamics(SPH)method to discretize the stratum rock mass into particle units with varying mechanical properties,and combining with elastoplastic model based on the Drucker-Prager yield criterion and a particle fracture model,the stress field evolution and roof failure mechanism of surrounding rock during the expansion excavation process of the abandoned coal mine-based pumped storage underground reservoir are dynamically simulated,and the influence of rock damage on the stability of surrounding rock is clarified.The results show that:(a)the roof failure occurs in stages,and the critical span of the roof is triggered when the excavation reaches 45 m,leading to stratified failure and local slab collapse,with a collapse zone height of up to 19.6 m;and(b)the rock mass damage significantly affects roof stability.Under the mild damage conditions of rock mass,the critical span will reduce to 35 m,and the water storage area is 90%of that in intact rock.Under the severe damage conditions of rock mass,the critical span will further reduce to 30 m,which will induce fracture initiation in the shallow layers of the roof,and exacerbate deep bending deformation,reducing the available space of the reservoir to 64%sharply.This study shows that SPH method can provide a theoretical basis for the stability analysis and control of roof rock in underground reservoir projects.关键词
废弃矿井/抽水蓄能/地下水库/开挖模拟/岩体大变形/光滑粒子流体动力学Key words
abandoned coal mine/pumped storage/underground reservoir/excavation simulation/rock mass damage/SPH分类
矿业与冶金引用本文复制引用
马宝,王小龙,王菁莪..基于SPH方法的废弃煤矿抽水蓄能地下水库扩容开挖模拟研究[J].水力发电,2026,52(6):28-36,105,10.基金项目
国能神东煤炭集团科技项目(E210100620) （E210100620）
国家自然科学基金资助项目(41502280) （41502280）
