Bond Behavior of Fabric-Reinforced Geopolymeric Matrix System – A Pilot Study
Bibliographic record
Abstract
This paper presents results of a pilot study carried out to investigate the feasibility and viability of producing a sustainable and eco-friendly structural strengthening solution involving the use of cement-free alkali-activated geopolymeric matrix and carbon fabric textiles.The study focused on examining the bond behavior at the fabric-geopolymeric matrix interface through single-lap shear tests.The geopolymeric matrix was a blend of fly ash/ground granulated blast furnace slag (GGBS) activated by an alkaline solution of sodium silicate and sodium hydroxide.Test parameters included the bonded length, configuration of the textile fabrics, and composition of the matrix.The bond behavior of the specimens with a geopolymeric matrix was characterized and compared to that of similar specimens with a cementitious matrix.All specimen exhibited a debonding mode of failure at the fabric-matrix interface.The bond strength of a specimen with a bi-directional fabric was higher than that of a similar specimen with a unidirectional fabric.The bond strength of the specimens with the geopolymeric matrix was even higher than that of similar specimens with the cementitious matrix.Increasing the fly ash-to-GGBS ratio in the geopolymeric matrix slightly decreased the bond strength but improved the post-peak behavior of the tested specimens.
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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 | 0.000 | 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) | 0.002 | 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".