Rock uniaxial compressive strength detection method and system, and electronic device
By combining piezoelectric impedance sensors and machine learning models, the problem of non-destructive, rapid, and in-situ estimation of uniaxial compressive strength in rocks has been solved, achieving non-destructive testing and high efficiency adaptability, and is applicable to scenarios such as tunnels, slopes, and mines.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANCHANG UNIV
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for testing the uniaxial compressive strength of rocks rely on a single index or semi-destructive testing, which have limited adaptability to the field and the ability to generalize across different rock types, making it difficult to achieve non-destructive, rapid, and in-situ estimation.
A piezoelectric impedance sensor is used to apply a swept-frequency excitation signal to obtain the response spectrum. The uniaxial compressive strength of the rock is inverted through a machine learning model. Combined with environmental compensation and multi-index fusion, non-destructive testing is achieved.
It enables non-destructive testing without the need to prepare standard samples, reduces sampling and experimental costs, can more directly reflect the state of the rock mass on site, improves adaptability to different lithologies and working conditions, and supports portable, digital, and intelligent rock mechanical parameter testing.
Smart Images
Figure CN122409332A_ABST