A method and system for detecting the strength of geopolymer
By arranging PZT sensors in geopolymers and applying swept-frequency electrical signals, combined with machine learning models, the problem of low accuracy in geopolymer strength detection is solved, achieving rapid and accurate non-destructive testing, which is suitable for engineering sites.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIANGTAN UNIV
- Filing Date
- 2026-05-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing non-destructive testing techniques, such as the rebound method and ultrasonic method, have low accuracy and poor adaptability when testing the strength of geopolymers, making it difficult to meet the actual needs of engineering.
PZT sensors were deployed in the geopolymer and excited by a swept-frequency electrical signal to collect electrical impedance spectrum signals. The intensity was then detected by combining the signals with a machine learning model, using electrical characteristic parameters, curing age, and environmental factors.
It enables rapid, accurate, and non-destructive testing of geopolymer strength, adapts to different curing stages and environmental conditions, and meets the quality control needs of engineering sites.
Smart Images
Figure CN122409338A_ABST