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:
Jul. 23, 2024

Filed:

Jan. 21, 2020
Applicant:

Shandong University, Shandong, CN;

Inventors:

Shucai Li, Jinan, CN;

Peng Lin, Jinan, CN;

Heng Shi, Jinan, CN;

Zhenhao Xu, Jinan, CN;

Youbo Liu, Jinan, CN;

Tengfei Yu, Jinan, CN;

Zehua Bu, Jinan, CN;

Xiaote Wang, Jinan, CN;

Assignee:

SHANDONG UNIVERSITY, Jinan, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 3/42 (2006.01); G01N 3/08 (2006.01); G01N 29/07 (2006.01);
U.S. Cl.
CPC ...
G01N 3/08 (2013.01); G01N 3/42 (2013.01); G01N 29/07 (2013.01); G01N 2203/0019 (2013.01); G01N 2203/0647 (2013.01); G01N 2291/0232 (2013.01);
Abstract

A predicting system and method for the uniaxial compressive strength of rock include a point loading strength test module, a longitudinal wave velocity test module, a rock rebound value test module and a strength prediction module, wherein the longitudinal wave velocity test module performs longitudinal wave velocity tests on the rock, and transfers the longitudinal wave velocity of the rock to the strength prediction module; the rock rebound test module performs rebound test on the rock, and transfers the rebound value of the rock to the strength prediction module; the point loading strength test module performs image acquisition on a fracture surface of the rock after being loaded and fractured by the point loading test, and calculates the area of the fracture surface; and the strength prediction module outputs a uniaxial compressive strength prediction result of the rock according to the received information and a preset prediction model.


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