首页|期刊导航|中南大学学报(自然科学版)|基于计算机视觉的深部软岩巷道变形破裂特征试验研究

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

中文摘要英文摘要

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,…查看全部>>

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 …查看全部>>

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

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 (9)

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)supportedby the National Natural Science Foundation of ChinaProject(2022YFC3003304)supported by the National Key Research and Development Program of China)

10.11817/j.issn.1672-7207.2024.09.019

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