Numeric Mapping of Geological Stratum Topology for Shield Tunnel

被引:1
作者
Zhang, Jinyu [1 ]
Zhang, Yijie [2 ]
Shen, Mengru [3 ]
Zhang, Dingli [4 ]
机构
[1] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
[2] Army Med Univ, Coll Prevent Med, Chongqing 400038, Peoples R China
[3] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
[4] Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2023年 / 61卷
基金
中国国家自然科学基金;
关键词
Back propagation (BP) algorithm; geological recognition; neural network (NN); tunnel face; FACE STABILITY; SHALLOW TUNNELS; EARTH PRESSURE; SOIL; MODEL; SEEPAGE;
D O I
10.1109/TGRS.2023.3325444
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The geological condition above tunnel face is essential to excavation and support. In order to solve the shortcoming of ground borehole method that cannot obtain continuous information while destroying soil stability, this article presents a numeric algorithm to continuously recover the topology of each soil stratum. Specifically, first, a Silo-Wedge tunnel face model and its topology and mechanics parameter algorithms were proposed based on Terzaghi theory and Mohr stress circle. Through considering the friction effect of cutter-head and designing suitable parabolic arch element contour, the calculated shape and lateral stress ratio closely fits model tests. Second, an interstratum load transferring algorithm was designed based on differential element force equilibrium model. Through involving arch effect, shearing resistance, and friction force, the result becomes more practical. Third, a bottom-to-top two virtual stratum model was proposed to recursively calculate the thickness change of soil stratum corresponding to sensed pressure deviation. Through designing the load contribution weight of stratum, complex polynomial solving problem is avoided. Finally, a back propagation (BP) neural network (NN) was improved based on proposed model characteristics, calculation error, and learning time are reduced. Finally, effectiveness was tested.
引用
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页数:13
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