Patents by Inventor Yongbo FAN

Yongbo FAN 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).

  • Publication number: 20250035816
    Abstract: The present invention discloses a method for dynamically assessing slope safety, and the method comprises the following steps: S1, carrying out geologic model generalization to the slope according to slope type, surface elevation, slope structure, stratum characteristics and a deformation failure mode to obtain a slope geologic model, creating a slope geometric model according to the said slope geologic model, carrying out the subdivision of computational grid, and selecting a reasonable numerical simulation method, mechanical constitutive and initial boundary value conditions to form a computational model; and S2, adjusting stratum parameters, structural plane parameters and activating factor strength based on the said computational model, carrying out a large amount of numerical simulation, summarizing results of the said numerical simulation, normalizing input quantities and output quantities to establish machine learning samples.
    Type: Application
    Filed: October 9, 2024
    Publication date: January 30, 2025
    Applicant: INSTITUTE OF MECHANICS, CHINESE ACADEMY OF SCIENCES
    Inventors: Chun FENG, Xinguang ZHU, Pengda CHENG, Yu ZHOU, Lixiang WANG, Yongbo FAN, Li ZHANG
  • Publication number: 20230214557
    Abstract: A method for dynamically assessing slope safety includes the following steps: S1, carrying out geologic model generalization to the slope according to slope type, slope structure, stratum characteristics and a deformation failure mode to obtain a slope geologic model, creating a slope geometric model according to the slope geologic model, carrying out the subdivision of computational grid, and selecting a reasonable numerical simulation method, mechanical constitutive and initial boundary value conditions to form a computational model; and S2, adjusting stratum parameters, structural plane parameters and activating factor strength based on the computational model, carrying out a large amount of numerical simulation, summarizing results of the numerical simulation, normalizing input quantities and output quantities to establish machine learning samples.
    Type: Application
    Filed: December 28, 2022
    Publication date: July 6, 2023
    Applicant: INSTITUTE OF MECHANICS, CHINESE ACADEMY OF SCIENCES
    Inventors: Chun FENG, Xinguang ZHU, Pengda CHENG, Yu ZHOU, Lixiang WANG, Yongbo FAN, Li ZHANG