The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 21, 2025

Filed:

Aug. 27, 2024
Applicant:

Central Research Institute of Building and Construction Co., Ltd. Mcc, Beijing, CN;

Inventors:

Qing Xu, Beijing, CN;

Bin Zeng, Beijing, CN;

Xiaoda Xu, Beijing, CN;

Jiawei Li, Beijing, CN;

Haoda Zhang, Beijing, CN;

Yanyan Wang, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16C 60/00 (2018.12);
U.S. Cl.
CPC ...
G16C 60/00 (2019.01);
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 condition of the N-sub-distribution Gaussian mixture model.


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