Patents by Inventor Lijie DU

Lijie DU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12163826
    Abstract: Disclosed is a method for identifying a vibration magnitude of a TBM main beam using a geological feature parameter and a tunneling feature parameter constructed based on tunnel boring machine (TBM) tunneling parameters. The method includes: collecting vibration signals of the main beam and tunneling parameters of a TBM through an in-situ tunneling test and preprocessing such data, researching a correlation law between the tunneling parameters and a vibration feature root mean square (RMS), providing two feature parameters of a field penetration index (FPI) and a cutterhead power index (TNI), establishing a multivariate regression prediction model for vibration of the TBM main beam based on the feature parameters, and verifying and analyzing the model under different surrounding rock conditions. An average relative error of prediction is 12% or within, and a quantitative relation between the vibration features of the main beam and the feature parameters of the TBM is given.
    Type: Grant
    Filed: March 27, 2024
    Date of Patent: December 10, 2024
    Assignees: Shijiazhuang Tiedao University, China State Railway Group Co., Ltd.
    Inventors: Lijie Du, Yalei Yang, Qingwei Li, Guangchun Xu, Xun Luo
  • Publication number: 20240018865
    Abstract: A TBM adaptive surrounding rock classification method includes following steps: establishing a TBM adaptability surrounding rock classification table; substituting the rock uniaxial compressive strength and a rock mass intactness index into the surrounding rock classification table to obtain basic classification of a surrounding rock; determining whether the grade of the surrounding rock needs to be corrected or not, and when correction is not needed, enabling the basic classification of the surrounding rock to be the final grade of the surrounding rock; when the correction is needed, performing rock burst correction or groundwater correction on the grade of the surrounding rock; determining which corrected classification of a rock burst correction result and a groundwater correction result is poorer in surrounding rock evaluation; and obtaining a conclusion, and taking the corrected classification with poorer surrounding rock evaluation as the final grade of the surrounding rock.
    Type: Application
    Filed: December 17, 2022
    Publication date: January 18, 2024
    Applicants: Shijiazhuang Tiedao University, Xinjiang Irtysh Investment and Development Co., Ltd
    Inventors: Lijie Du, Qingwei Li, Yalei Yang, Baoxin Liu, Quan Shi, Yongwei Quan, Xiangbo Zhao
  • Patent number: 11808152
    Abstract: A method for real-time strength estimation, grading, and early warning of rock mass in tunnel boring machine (TBM) tunneling, and belongs to the technical field of TBM tunnel construction. The method includes the following steps: establishing a general relation model of equivalent strength Rec of the TBM boring rock mass and a field penetration index (FPI); and applying the model to TBM boring construction, estimating an integrity coefficient Kv of the TBM boring rock mass in real time according to boring parameters acquired by a TBM in real time, and performing grading and early warning on the TBM boring rock mass according to a given grading standard and early warning values.
    Type: Grant
    Filed: February 2, 2023
    Date of Patent: November 7, 2023
    Assignees: SHIJIAZHUANG TIEDAO UNIVERSITY, CHINA STATE RAILWAY GROUP CO., LTD.
    Inventors: Lijie Du, Qingwei Li, Yalei Yang, Yong Zhao, Siming Tian
  • Publication number: 20230258087
    Abstract: A method for real-time strength estimation, grading, and early warning of rock mass in tunnel boring machine (TBM) tunneling, and belongs to the technical field of TBM tunnel construction. The method includes the following steps: establishing a general relation model of equivalent strength Rec of the TBM boring rock mass and a field penetration index (FPI); and applying the model to TBM boring construction, estimating an integrity coefficient Kv of the TBM boring rock mass in real time according to boring parameters acquired by a TBM in real time, and performing grading and early warning on the TBM boring rock mass according to a given grading standard and early warning values.
    Type: Application
    Filed: February 2, 2023
    Publication date: August 17, 2023
    Applicants: Shijiazhuang Tiedao University, China State Railway Group Co., Ltd.
    Inventors: Lijie DU, Qingwei LI, Yalei YANG, Yong ZHAO, Siming TIAN