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Evolution of strain field and crack prediction in cemented paste backfill specimens based on digital image
Huanbao Zhang1, Tao Gao2, Fulin Wang1
1School of Resources Environment and Safety Engineering, University of South China, Hengyang, 421001, China.
Scientific Reports
|March 29, 2025
Summary
This study shows how cement-to-tailings ratio, filling concentration, and curing age affect cemented paste backfill (CPB) stability. A new computer vision model predicts cracks early, improving mining safety and backfill design.
Area of Science:
- Mining Engineering
- Materials Science
Background:
- Mine safety relies heavily on the stability of backfill materials.
- Cemented paste backfill (CPB) is crucial for ground support and mine stability.
Purpose of the Study:
- To analyze strain field evolution and crack development in CPB under varying mix designs.
- To develop a quantitative method for early crack prediction in CPB.
Main Methods:
- Uniaxial compressive strength (UCS) testing.
- Digital image correlation (DIC).
- Computer vision recognition (CVR) technology, specifically an HSV-CVR model.
Main Results:
- UCS of CPB decreases with lower cement-to-tailings ratio, filling concentration, and curing age.
- Principal strain field evolution accelerates as these parameters decrease.
- The HSV-CVR model accurately quantifies strain regions and enables early crack prediction.
Conclusions:
- The HSV-CVR model offers an objective and precise method for analyzing CPB strain and predicting cracks.
- Findings provide a scientific basis for optimizing CPB design, monitoring, and risk management in mining operations.
- This research contributes to enhanced mining safety and operational efficiency through improved backfill material understanding.
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