复杂大水矿山近矿体帷幕厚度多方法协同计算与工程应用OA

To address the challenge of calculating near-orebody curtain thickness in complex water-rich underground mines,this study systematically analyzes the applicability and limitations of five calculation methods(falling into three categories):the engineering analogy method,the anti-seepage standard method,the curtain compressive strength method,the"three-zone theory"method,and the numerical simulation method.Based on nine typical mine engineering cases(curtain thickness of 25-40 m),among which mines using complete curtain schemes achieve a water-blocking rate of 81.4%-100%,we perform back calculations and compare the results with actual thicknesses to verify the calculation accuracy of the above methods.Based on the verification results,we identify key technical challenges and propose corresponding solutions.The results show that analytical methods deviate from reality due to idealized assumptions(e.g.,homogeneous rock mass,static water pressure)and parameter errors;the engineering analogy method suffers from poor reliability due to strong subjectivity and reliance on historical experience;the numerical simulation method(e.g.,FLAC3D,COMSOL),particularly when employing fluid-solid coupling models,demonstrates optimal adaptability but relies heavily on high-precision geological data.On this basis,we propose a multi-method collaborative calculation framework adhering to the principles of"stage coupling,primary-secondary distinction,mutual verification,and dynamic feedback",and clarify its collaborative model and application pathways across the three stages of feasibility study,preliminary design,and construction design.Currently,the main core bottlenecks lie in three aspects:insufficient model precision,lack of dynamic design,and weak intelligent control.Future development should advance synergistically toward these three technical directions,promoting the upgrading of mine water control technology toward precision,efficiency,and environmental sustainability,thereby supporting the safe exploitation of deep mineral resources.