摘要
针对高边坡健康监测存在无法准确判识边坡最危险断面、重点区域监测缺失及监测数据难以系统化管理等问题,提出了基于精细化三维地质BIM模型与有限元分析的高大边坡融合健康监测方法。首先,研究地质剖面数据与钻孔数据的配准融合,将两类异构数据统一为空间三维控制点数据,并采用普通Kriging算法进行插值增强;然后,基于Dynamo可视化编程进行“点、线、面、体”渐进式建模,实现BIM环境中地质模型创建;最后,将边坡BIM模型通过*.sat及*.csv文件转换为有限元分析模型,采用有限元强度折减法对高边坡进行稳定性真三维分析,以获取边坡稳定最不利位置,指导监测方案布置,并基于Cesium开发监测数据可视化功能。将上述方法应用于怀化西编组站124m高边坡工程健康监测过程,结果表明:所述方法可以创建准确平滑的边坡三维地质BIM模型,超高边坡与断层不利工点三维稳定性系数分别为1.604与2.048,现场监测数据表明边坡整体处于稳定状态。研究结论:采用多元地质数据构建精细化BIM地质模型,并将其应用于边坡健康监测过程中的三维稳定性分析,可明确边坡三维最不利位置,指导监测传感器精确布点。
In the process of health monitoring of high slope,many problems have arisen.Such as the most dangerous part of slope can not be accurately identified,situation of key areas can not be monitored and the systematic management of massive data is difficult.To solve the above problem,we proposed a multi-source fusion health monitoring of high slope based on geological BIM model and finite element analysis.Firstly,the profile data and borehole data were registered and fused into spatial three-dimensional control point data;Then,based on Dynamo visual programming,used the process of ‘point,line,surface and body' to realize the geological model creation in BIM environment.Finally,converted slope BIM model to finite element analysis model through *.sat and *.csv files,used strength reduction method to analyze the stability of high slope,found the unfavorable part of slope,and used the result to guide the layout of monitoring scheme.Developed monitoring data visualization function based on Cesium.Applied the proposed method into the 124m high slope in Huaihua West Marshalling Station.The results shown that the proposed method can create an accurate and smooth 3dl geological BIM model.The 3d stability factors of the slopes in highest and fault area in the project are 1.604 and 2.048,respectively.The monitoring data shown that the slope is stable.Using multiple geological data to create refined BIM geological model and apply it to the 3d stability analysis during slope health monitoring.The most unfavorable position of slope in 3d space can be determined,which guide accurate placement of monitoring sensors.
作者
孙凯强
刘惊灏
苏谦
程李娜
牛云彬
李艳东
SUN Kaiqiang;LIU Jinghao;SU Qian;CHENG Lina;NIU Yunbin;LI Yandong(China Railway Siyuan Survey and Design Group Co.,Ltd.,Wuhan 430063,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China)
出处
《铁道标准设计》
北大核心
2023年第11期31-37,60,共8页
Railway Standard Design
基金
中铁第四勘察设计院集团有限公司科技研究开发计划项目(2020K041)。
关键词
铁路
高边坡
健康监测
三维地质建模
BIM
有限元法
railway
high slope
health monitoring
3D geological modeling
BIM
finite element method
