基于计算机视觉的深部软岩巷道变形破裂特征试验研究OA北大核心CSTPCD
Experimental study on deformation and fracture characteristics of deep soft rock roadway based on computer vision
巷道破裂围岩大变形是深部煤炭开采过程中围岩稳定性控制的难点.针对该问题,本文通过大比例相似模型试验,采用自主研发的计算机视觉量测系统进行围岩全场精细化变形测量和破裂识别表征,探究了深部巷道围岩的碎胀变形演化特征.研究结果表明:裂隙的数量、长度和面积发育演化可分为径向裂隙发育和环向裂隙发育2个阶段;巷道围岩变形存在位移变化不一致现象,径向裂隙发育阶段以竖向位移为主,环向裂隙发育阶段以水平位移为主;在荷载作用下,有无支护结构巷道围岩均会发生剪切破坏,支护结构能够有效限制剪切破坏后围岩块体相互滑移错动,减小巷道的碎胀变形;深部巷道围岩变形破裂演化具体表现为巷道围岩沿结构面发生剪切破坏,产生径向裂隙切割围岩体;随荷载增加,围岩块体发生错动滑移,产生环向裂隙进而产生碎胀变形.
The large deformation of surrounding rock caused by roadway rupture is a difficult problem in the stability control of surrounding rock in deep coal mining.Aiming at the problem,the evolution characterization of bulking deformation in surrounding rock of deep roadway was investigated,a large-scale similarity model test was conducted and a self-developed computer vision measurement system was used for deformation of surrounding rock precise field measurement and rupture identification characterization.The results show that with the development and evolution of the number,length and area of cracks can be divided into radial crack development stage and ring crack development stage.Displacement changes of the surrounding rock exhibit inconsistency,the vertical displacement of the surrounding rock mass is mainly in the radial crack development stage,and the horizontal displacement of the surrounding rock mass is mainly in the ring crack development stage.Shear failure occurs in both supported and unsupported roadway sections under loading conditions.However,support structures effectively restrict mutual slip and dislocation among block of surrounding rock after shear failure,thereby reducing bulking deformation of roadway.The deformation and fracture evolution of the surrounding rock in deep roadway is manifested by the shear failure of the surrounding rock along the structural plane,resulting in radial cracks cutting the surrounding rock mass.As load increases,dislocation and slip of the surrounding rock mass lead to ring cracks formation and subsequent bulking deformation.
赵万勇;李元海;于恒;徐晓华
中国矿业大学力学与土木工程学院,江苏徐州,221116中国矿业大学力学与土木工程学院,江苏徐州,221116||中国矿业大学深地工程智能建造与健康运维全国重点实验室,江苏徐州,221116中国矿业大学深地工程智能建造与健康运维全国重点实验室,江苏徐州,221116
土木建筑
深部巷道模型试验计算机视觉碎胀变形裂隙演化
deep roadwaymodel testcomputer visionbulking deformationevolution of crack
《中南大学学报(自然科学版)》 2024 (009)
3457-3468 / 12
国家自然科学基金资助项目(52274141);国家重点研发项目(2022YFC3003304)(Project(52274141)supported;by the National Natural Science Foundation of China;Project(2022YFC3003304)supported by the National Key Research and Development Program of China)
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