岩土力学2018，Vol.39Issue(4)：1450-1462,13.DOI:10.16285/j.rsm.2016.1001
拉林铁路桑日至加查段三维地应力场反演分析
Three dimensional inverse analysis of geostress field in the Sangri-Jiacha section of Lasa-Linzhi railway
摘要
Abstract
The terrain from Sangri to Jiacha is steep with deep-incised valleys and intense tectonic activities.The strong erosion trenching of Yarlung Zangbo River since early Pleistocene has caused release and redistribution of tectonic stress in this region.The stress field here is extremely sophisticated.Geostress field analysis is of great significance to the route selection and construction of railways.This study combines the terrace characteristics alongside the Yarlung Zangbo River to generalize the evolution laws of the river valley and create a 3D geological-mechanical model according to geological conditions.The existing geostress field from Sangri to Jiacha of Lasa-Linzhi railway is then calculated based on the real-tested geostress data and the utilization of the geostress inverting method combining the RBF neural network and the principle of strata denudation.The result shows that the geostress measurements in each testing point are in good consistency with the real-testing values,and the geostress field obtained through this method is reasonable and reliable.On this basis,the stress field features of the river bank slope of Sang-jia canyon section and the major tunnel projects along the valley river bank are analyzed,and the major problems during the tunnel construction are discussed based on the value and direction characteristics of the main stress field at tunnel axis location.关键词
地应力场/深切河谷/反演分析/RBF神经网络/拉林铁路Key words
geostress field/deep-incised valley/inversion analysis/RBF neural network/Lasa-Linzhi railway分类
建筑与水利引用本文复制引用
王庆武,巨能攀,杜玲丽,黄健,胡勇..拉林铁路桑日至加查段三维地应力场反演分析[J].岩土力学,2018,39(4):1450-1462,13.基金项目
国家创新研究群体科学基金项目资助(No.41521002) （No.41521002）
国家自然科学基金资助(No.41372306).This work was supported by the Funds for Creative Research Groups of China (41521002) and the National Natural Science Foundation of China (41372306). （No.41372306）
