Mitigation of plastic shrinkage in fly ash concrete using basalt fibres
Bibliographic record
Abstract
Many durability related problems in concrete structures are caused due to early-age cracking. Though early-age cracking is not detrimental to the structure, this will open up the way for the long-term durability issues, hence, needs to be mitigated. Cracking of such types in concrete is commonly prevented by adding fibres. Present work aims at studying the potential use of basalt fibres in controlling the shrinkage cracks at early age, otherwise this fibre is considered not suitable for use in concrete as it would degrade under alkaline environment. Further, to sustain the long-term durability, an attempt has been made to reduce the alkalinity of the concrete by replacing the cement with fly ash up to 50%. Concrete specimens made with two water to binder ratios (w/b), six replacement levels of fly ash, and one type of fibre are used for this study. Crack width and crack area generally used for evaluating the extent of shrinkage cracks are measured and analyzed. As the shrinkage cracks are very thin to measure manually, image analysis technique has been employed to measure the crack widths. Results indicate that to a greater extent cracks developed during early age has been effectively mitigated with the incorporation of fly ash. Further, it is found that basalt fibres are effective in arresting the shrinkage cracks. Furthermore, it is concluded that manual measurement will under or overestimate the crack width, hence, image analysis technique can be successfully used for measuring the crack widths.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".