首页|基于多源监测数据的超深采空区地表沉降变形规律研究

基于多源监测数据的超深采空区地表沉降变形规律研究

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为研究紧邻高铁的深埋采空区地表沉降变形特征,以鲁南高铁为例,采用INSAR解译、地表水准测量、地下水监测、结构体自动化监测等方法,针对重点段落布置了多源监测网络,实现对采空区地表变形多维度、多精度、全时段的全方位监测,并分析超深采空区地表沉降变形规律,得到地表变形与结构体变形之间的耦合关系.研究表明,鲁南高铁古城煤矿段地表沉降主要因采空区所致,采空区地表变形表现为以采空区为中心,并向四周辐射的"碗状"形态,INSAR解译地面沉降趋势与采空区的形成在"时-空"上有较好的一致性,沉降中心随着采空区采掘方向移动,且表现为前期沉降大、后期沉降小的规律.根据地表水准监测反算岩移边界角为 58.1°~59.5°,与留设保护煤柱的边界角 60°基本一致,验证了岩移参数取值的合理性,运营阶段线上结构体变形为-6~4 mm,与地表变形具有明显的一致性.
Study on the Geological Conditions of Deep Foundation Pit Engineering for Air Well in Granite Areas
In order to study the characteristics of surface subsidence and deformation in deep goaf areas adjacent to the high-speed railway,taking the Lunan high-speed railway as an example,a multi-source monitoring network was arranged for key sections using methods such as INSAR interpretation,surface leveling,groundwater monitoring,and structural automation monitoring.The multi-dimensional,high-precision,and full-time monitoring of surface deformation in goaf areas was achieved,and the law of surface subsidence and deformation in ultra deep goaf areas was analyzed.The coupling relationship between surface deformation and structural deformation was obtained.The results show that:The surface subsidence of the Gucheng coal mine section is mainly caused by the goaf,and the surface deformation of the goaf is characterized by a"bowl shaped"shape centered around the goaf and radiating towards the surrounding areas.INSAR interprets the trend of surface subsidence as consistent with the formation of the goaf in terms of"time space".The subsidence center moves with the direction of goaf excavation,and exhibits a pattern of large settlement in the early stage and small settlement in the later stage.According to surface level monitoring,the boundary angle of rock movement is calculated to be 58.1°~59.5°,which is basically consistent with the boundary angle of 60° for retaining protective coal pillars.The rationality of rock movement parameter values has been verified.During the operation stage,the deformation of the online structure is-6~4 mm,which is significantly consistent with surface deformation.The research results provide reference for similar research in other projects.

high-speed railwayultra deep goafINSAR interpretationdeformation monitoringautomation monitoring

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中铁第四勘察设计院集团有限公司,武汉 430063

高速铁路 超深采空区 INSAR解译 变形监测 自动化监测

中国铁路总公司科技研发计划重点项目山东省交通厅科技重点项目

2017G008-J2022B89

2024

铁道勘察
中铁工程设计咨询集团有限公司

铁道勘察

影响因子:0.542
ISSN:1672-7479
年,卷(期):2024.50(3)
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