大型三维高精度物理模拟试验平台的研发与应用

Development and application of large-scale three-dimensional high-precision physical simulation platform

  • 摘要: 在矿山工程技术领域,物理相似模拟试验作为重要研究手段已广泛应用,但传统二维物理模拟难以真实还原三维地质环境与开采动态耦合机制的技术瓶颈,基于源头减损与自修复开采理念,研制了5 m×5 m×3.2 m高精度智能化三维物理模拟平台。通过模块化编程伺服控制280个方形开挖单元(控制精度±1 mm)与280个荷载传感器,实现采场压力时空演化的三维动态重构。该平台在上湾煤矿12401工作面8.8 m超大采高开采模拟中,验证了“两大一小”周期来压规律(强来压步距15 m,弱来压8~11 m),并测得支承压力系数2.5、地表下沉系数0.72等关键参数。创新集成2 mm工业内窥镜(WS-K)、探地雷达(ZTR11-Z)、三维激光扫描(FARO Focus Premium70)与运动相机延迟拍摄技术,构建多维度监测体系,突破性地捕捉到覆岩破坏呈椭圆台状(梯形旋转体)梯度衰减的传导过程,定量揭示下沉盆地占比34%,垮采比3.8,裂采比14等核心指标,阐明开采扰动的非线性扩散特征。研发了砂–膏–灰低强高脆材料体系(单轴抗压强度≤1 MPa,分层2~3 cm),结合“定量给料–侧压反馈–湿度监测”协同控制技术,有效解决了三维模拟材料均匀性与压实度控制难题。平台通过280个方形开挖模块和40个条形模块自由组合,可实现条带开采、充填开采、给定变形等多场景工艺的精细化设计,保障了试验标准化和可重复性,推动煤炭开采相似模拟试验从经验驱动向数据量化范式转型。

     

    Abstract: In mining engineering, physical similarity model testing has been widely utilized as a critical research tool. However, traditional two-dimensional simulations face technical limitations in accurately replicating the coupling mechanisms between three-dimensional geological environments and dynamic mining processes. To address this challenge, a high-precision intelligent 3D physical simulation platform (5 m×5 m×3.2 m) based on source damage reduction and self-healing mining principles was developed. The platform employs modular programmable servo control for 280 square excavation units (±1 mm precision) and 280 load sensors, enabling 3D dynamic reconstruction of spatiotemporal stress evolution in mining fields. Validated through simulations of 8.8 m ultra-high mining height at the 12401 working face of Shangwan coal mine, the platform confirmed the "two major, one minor" periodic weighting pattern (strong weighting interval: 15 m; weak: 8–11 m), with key parameters including a support pressure coefficient of 2.5 and surface subsidence coefficient of 0.72. A multidimensional monitoring system was innovatively integrated, combining a 2 mm industrial endoscope (WS-K), ground-penetrating radar (ZTR11-Z), 3D laser scanning (FARO Focus Premium70, 2 million point clouds), and motion camera time-lapse imaging. This system captured the gradient attenuation process of overlying rock failure in a elliptical platform (trapezoidal rotation) shape, quantitatively revealing core indicators: subsidence basin proportion (34%), caving-mining ratio (3.8), and fracture-mining ratio (14), thereby elucidating the nonlinear diffusion characteristics of mining-induced disturbances. A sand-paste-ash low-strength, high-brittleness material system (uniaxial compressive strength ≤1 MPa, 2–3 cm layered structure) was developed, integrated with a "quantitative feeding–lateral pressure feedback–humidity monitoring" collaborative control strategy. This effectively resolved challenges in material uniformity and compaction control for 3D simulations. The platform’s modular design—combining 280 square and 40 strip excavation modules—enables refined simulations of strip mining, backfill mining, and deformation-controlled scenarios, ensuring standardized and repeatable testing. This advancement drives the transformation of coal mining similarity simulations from experience-driven practices to data-quantified paradigms.

     

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