公开(公告)号：US20240110479A1

公开(公告)日：2024-04-04

申请号：US18172775

申请日：2023-02-22

申请人： Qingdao University of Technology

发明人： Yongjun ZHANG ,  Fei LIU ,  Sijia LIU ,  Junyi WANG ,  Bin GONG ,  Yingming WU ,  Ruiquan LU ,  Qingsong WANG ,  Qinghui XU ,  Xiaoming GUAN ,  Mingdong YAN ,  Xiangyang NI ,  Pingan WANG ,  Shuguang LI ,  Lin YANG ,  Ning NAN ,  Dengfeng YANG

IPC分类号： E21F17/18

CPC分类号： E21F17/18 ,  E21D9/00

摘要： The present disclosure provides a multi-factor quantitative analysis method for deformation of a neighborhood tunnel. The method includes the following steps: analyzing monitoring data generated at a tunnel site; simulating collapse occurring at a shallow buried section of a tunnel; determining the degree of influence of each factor on the tunnel and a stratum; and determining quantitative influence of each factor on tunnel deformation. The present disclosure can not only provide an accurate theoretical basis for the construction of the shallow buried section of the small-distance tunnel, but also guarantee safety and cost saving during tunnel construction.

公开(公告)号：US20240135069A1

公开(公告)日：2024-04-25

申请号：US18172082

申请日：2023-02-21

申请人： Qingdao University of Technology

发明人： Yongjun ZHANG ,  Fei LIU ,  Huangshuai XIA ,  Bin GONG ,  Sijia LIU ,  Yingming WU ,  Qingsong WANG ,  Hongzhi LIU ,  Ruiquan LU ,  Mingdong YAN ,  Lijun ZHANG ,  Xiaoming GUAN ,  Pingan WANG ,  Shuguang LI ,  Dengfeng YANG ,  Weiguo ZHANG

IPC分类号： G06F30/23 ,  G01V99/00

CPC分类号： G06F30/23 ,  G01V99/005 ,  G06F2111/10

摘要： The present disclosure provides a risk assessment method of water inrush in tunnels constructed in water-rich grounds. The method includes the following steps: simulating a tunnel excavation process by finite element software MIDAS GTS NX and fluid-structure interaction; according to a research method of control variables, analyzing effects of a groundwater level, an elastic modulus and advanced pipe shed grouting on the stability of surrounding rock, and improving an algorithm of a radial basis function (RBF) neural network using a Grey Relation Analysis (GRA)-based Partitioning Around Medoid (PAM) clustering algorithm to assess risks of water inrush occurring in Qingdao area.