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基于3D激光扫描的采空区地下空腔数字重构及填充估测研究 被引量:1

Digital Reconstruction and Filling Prediction of Underground Cavity in Goaf Based on 3D Laser Scanning
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摘要 为给公路采空区填充处治提供可靠的数字化勘察资料,以湖南省白南高速为依托项目,利用3D激光扫描和地下空腔数字重构技术,通过点云转换、数据拼接、三维网格生成等手段,建立了地下空腔数字重构模型,直观真实反映了地下空腔的空间信息及其与桥桩的位置关系,用于指导填充钻孔的布设,并进一步通过填充试验建立了基于填充材料类型和空腔形态特征的填充方量估测修正模型。研究表明,实际填充方量略大于激光扫描预估的地下空腔体积,修正模型中的空腔形态修正系数,在长宽比<4时建议取1,4≤长宽比<6时取1.05,长宽比≥6时取1.1;而填充材料类型修正系数对于机制砂建议取1.1,砂浆取1.15,固废料取1.25。修正模型使得填充量估测误差有了大幅下降,从而为公路采空区地下空腔填充处治提供了新的借鉴方法。 In order to provide digital survey data for the filling treatment of goaf below highway,by using 3D laser scanning and digital reconstruction technology of underground cavity at Baiguo-Nanyue expressway in Hunan Province,this paper reconstructed a digital model of underground cavity by means of point cloud conversion,data stitching and 3D grid generation.The spatial information of the underground cavity and the position relationship between the cavity and the bridge pile were reflected,which can be used for guiding the filling hole arrangement.Furthermore,a corrected filling volume estimation model based on filling material type and cavity shape characteristic was established through filling tests.The results show that the actual filling volume is slightly greater than the underground cavity volume predicted by laser scanning.The cavity shape correction coefficient of corrected model is recommended to take 1 for length-width ratio<4,1.05 for 4≤length-width ratio<6,1.1 for length-width ratio≥6.While the filling material type corrected coefficient is recommended to take 1.1 for mechanical sand,1.15 for mortar,and 1.25 for solid waste.The corrected model significantly reduces the error of filling volume estimation,which provides a new reference method for the filling treatment of goaf cavity below highway.
作者 陈咏泉 刘文劼 巢万里 潘世强 张孝平 陈璐 CHEN Yongquan;LIU Wenjie;CHAO Wanli;PAN Shiqiang;ZHANG Xiaoping;CHEN Lu(Hunan Bainan Expressway Construction and Development Co.,Ltd.,Hengyang,Hunan 421300,China;Hunan Communications Research Institute Co.,Ltd.,Changsha,Hunan 410015,China;Tian He Dao Yun(Beijing)Technology Co.,Ltd.,Bejing 100176,China;Changsha University of Science&Technology,Changsha,Hunan 410076,China)
出处 《公路工程》 2023年第3期109-115,共7页 Highway Engineering
基金 国家自然科学基金项目(52004036) 湖南省高速公路集团有限公司科技计划项目(GL-KY-2022-002)。
关键词 采空区 3D激光扫描 地下空腔 数字重构 填充注浆 修正模型 goaf 3D laser scanning underground cavity digital reconstruction filling grouting corrected model
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