Effect of Temperature on Basalt Fiber Reinforced Polymer Bars in Moist Geopolymer Concrete
Bibliographic record
Abstract
This research aims to study the effect of temperature on basalt fiber reinforced polymer (BFRP) bars embedded in moist geopolymer concrete.The conditioning temperature varied among 20, 40, and 60°C.The geopolymer concrete was designed with a nominal cylindrical compressive strength of 40 MPa with a slag-to-fly ash mass ratio of 1:3.The samples were conditioned for a duration of 3 months.The tensile strength, moisture uptake, and matrix retention of BFRP bars were measured.Test results highlighted a 30% decrease in the tensile strength, 47% increase in the moisture uptake, and 33% decrease in the matrix retention when the temperature increased from 20 to 40°C.Meanwhile, limited changes to the durability performance of BFRP bars was noted as the conditioning temperature further increased to 60°C.
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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 | 0.001 |
| 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) | 0.001 | 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".