Mechanical Properties and Behavior of Early-Age Fiber-ReinforcedCemented Paste Backfill
Bibliographic record
Abstract
Cemented paste backfill (CPB, a mixture of tailings, cement, and water) has been extensively adopted in underground mines around the world.As a major underground support measure, CPB is required to provide sufficient ground support to the underground mined-out space (called stopes).To improve the mechanical behavior of CPB, fiber reinforcement technique has been considered as a promising approach.However, as the key design parameters, mechanical properties, and behavior of fiber-reinforced CPB (FR-CPB) have not been systematically investigated.This study aims to experimentally investigate the tension and compression behavior of FR-CPB and associated mechanical properties including elastic modulus, tensile strength, and unconfined compressive strength at early-age curing time (1, 3, and 7 days).Moreover, an experimental program was designed and performed to measure the electric conductivity and matric suction in FR-CPB.The monitored results were used to explain the evolution of the mechanical properties and behavior of FR-CPB.The obtained results show that a significant improvement of mechanical properties and behavior of CPB has been achieved due to the fiber inclusion in the CPB matrix.Moreover, the FR-CPB shows an enhanced energy absorption to resist material failure.Additionally, the substantial improvement of mechanical properties and behavior (hardening and softening stages) at early-age curing time indicates the key role played by the cement hydration in the CPB matrix.The obtained results from the present study can improve the understanding of the mechanical behavior of FR-CPB and thus contribute to the successful implementation of the fiber reinforcement technique.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".