Patents by Inventor Haoda Zhang

Haoda Zhang 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: 12283354
    Abstract: A concrete structure effective prestress estimation and evaluation characteristic value calculation method which includes calculating effective prestress probability distribution of a concrete structure prestress rebar, establishing a Gaussian mixture model of effective prestress of the concrete structure, carrying out normalization processing and normal significance judgment on the Gaussian mixture model, sampling and estimating the effective prestress probability distribution of the structure with normal distribution in theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the normal distribution condition, grouping processing and normal significance judging of the Gaussian mixture model, sampling and estimating the structural effective prestress probability distribution of the N-sub-distribution Gaussian mixture model by theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the conditio
    Type: Grant
    Filed: August 28, 2024
    Date of Patent: April 22, 2025
    Assignee: CENTRAL RESEARCH INSTITUTE OF BUILDING AND CONSTRUCTION CO., LTD. MCC
    Inventors: Qing Xu, Bin Zeng, Xiaoda Xu, Jiawei Li, Haoda Zhang, Yanyan Wang
  • Publication number: 20240420809
    Abstract: A concrete structure effective prestress estimation and evaluation characteristic value calculation method which includes calculating effective prestress probability distribution of a concrete structure prestress rebar, establishing a Gaussian mixture model of effective prestress of the concrete structure, carrying out normalization processing and normal significance judgment on the Gaussian mixture model, sampling and estimating the effective prestress probability distribution of the structure with normal distribution in theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the normal distribution condition, grouping processing and normal significance judging of the Gaussian mixture model, sampling and estimating the structural effective prestress probability distribution of the N-sub-distribution Gaussian mixture model by theoretical distribution, calculating effective prestress evaluation characteristic values of the components under the conditio
    Type: Application
    Filed: August 28, 2024
    Publication date: December 19, 2024
    Inventors: Qing Xu, Bin Zeng, Xiaoda Xu, Jiawei Li, Haoda Zhang, Yanyan Wang