基于图像特征的危岩识别方法研究
[Abstract]:The collapse disaster caused by unstable rock is the result of the natural long-term development. The collapse disaster will bring a lot of adverse effects to the construction and traffic of our country. Collapse in the construction process will affect the construction safety, and the collapse along the highway will cause traffic disruption in the course of operation. At present, there are many researches on dangerous rock mass and collapse, but most of them are based on theoretical analysis and calculation, so it is impossible to judge the stability of dangerous rock mass quickly. Therefore, it is necessary to study a fast identification method based on the appearance and image characteristics of dangerous rock mass. In this paper, the formation mechanism of dangerous rock mass is discussed, the unstable movement model of dangerous rock mass is concluded, the image features of various unstable rock masses are analyzed in detail, and the classification of dangerous rock mass is refined according to the image characteristics. The stress characteristics of various dangerous rock masses are analyzed, and the stable factors to maintain their stability and the unstable factors to accelerate their instability are summarized, and the environmental influence factors database of dangerous rock mass is established. In this paper, the instability of dangerous rock is regarded as the result of the combination of instability trend and environmental conditions, and the evaluation index GSI (geometric stability index) and EII (environmental impact index) are proposed to characterize the instability trend of rock. On this basis, the calculation method of GSI and EII is put forward, the relationship between GSI and EII is analyzed, and the rock stability evaluation index RSI (rock stability index) and its calculation formula are put forward. The main contents of this paper are as follows: (1) the formation mechanism and development model of dangerous rock are analyzed, and the dangerous rock mass is classified uniformly. According to the trend of instability motion, it is divided into five categories. On the basis of the large category of instability trend, it is subdivided into sixteen sub-categories according to the image features. (2) based on the image features of dangerous rock mass, the force is analyzed. The unstable factors of unstable rock mass and the stable factors of maintaining the stability of dangerous rock mass are put forward, and the influence factor database is established. (3) on the basis of studying the method of obtaining information of occurrence of rock structure plane, based on the projection of polar plane, Based on the analysis of the structural plane information of rock, the GSI of rock can be obtained by judging the trend of rock instability. In this paper, the stability and instability factors of dangerous rock mass are studied, and the classification table of environmental influence factors of dangerous rock mass and the calculation method of EII are put forward. (4) the GSI EII RSI of rock and its calculation method are put forward.
【学位授予单位】:重庆交通大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:U418.5;P642.21
【参考文献】
相关期刊论文 前10条
1 刘昌军;丁留谦;孙东亚;;基于激光点云数据的岩体结构面全自动模糊群聚分析及几何信息获取[J];岩石力学与工程学报;2011年02期
2 刘春;王宝军;施斌;唐朝生;;基于数字图像识别的岩土体裂隙形态参数分析方法[J];岩土工程学报;2008年09期
3 王凤艳;陈剑平;付学慧;石丙飞;;基于VirtuoZo的岩体结构面几何信息获取研究[J];岩石力学与工程学报;2008年01期
4 尹小涛;党发宁;丁卫华;陈厚群;;岩土CT图像中裂纹的形态学测量[J];岩石力学与工程学报;2006年03期
5 项伟,R.Jger;德国GPS在线位移监控和预警系统工作原理与工程应用[J];地质科技情报;2005年S1期
6 范留明,李宁;基于模式识别技术岩体裂隙图像的智能解译方法研究[J];自然科学进展;2004年02期
7 王立忠,胡亚元,王百林,陈云敏;崩塌松散围岩隧道施工稳定分析与监控[J];岩石力学与工程学报;2003年04期
8 蔡永庆,刘亚晨;核废料地质贮存岩体裂隙结构面几何特性参数分析[J];地质灾害与环境保护;2001年01期
9 阮沈勇,黄润秋;基于GIS的信息量法模型在地质灾害危险性区划中的应用[J];成都理工学院学报;2001年01期
10 张发明,刘宁,赵维炳;岩质边坡预应力锚固的力学行为及群锚效应[J];岩石力学与工程学报;2000年S1期
相关博士学位论文 前5条
1 袁进科;斜坡震裂岩体结构特征与震后崩塌识别体系研究[D];成都理工大学;2012年
2 唐红梅;群发性崩塌灾害形成机制与减灾技术[D];重庆大学;2011年
3 王迎超;山岭隧道塌方机制及防灾方法[D];浙江大学;2010年
4 焦波;面向智能视频监控的运动目标检测与跟踪方法研究[D];国防科学技术大学;2009年
5 李天斌;岩质工程高边坡稳定性及其控制的系统研究[D];成都理工大学;2002年
相关硕士学位论文 前8条
1 蒋涛;隧道塌方特征分析和预报预警监测系统的研究[D];北京交通大学;2016年
2 龚凌枫;基于数量化理论的线状工程边坡稳定性快速评价方法研究[D];成都理工大学;2015年
3 黄江;基于三维激光扫描技术的危岩稳定性信息化研究[D];成都理工大学;2014年
4 卢雯雯;基于视频图像的道路灾害监测和预警系统的设计与实现[D];华南理工大学;2011年
5 周峰;山岭隧道塌方风险模糊层次评估研究[D];中南大学;2008年
6 郑陈e,
本文编号:2123477
本文链接:https://www.wllwen.com/kejilunwen/diqiudizhi/2123477.html