Experimental and numerical performance analysis of alccofine-based crumb rubber concrete under quasi-static cyclic load
Bibliographic record
Abstract
Structure, during its design period, may face unpredictable dynamic loading: wind, earthquake, and blast. Unavoidably, loading rates impact the dynamic behaviours of structures. Besides, the infrastructure system is more susceptible to dynamic loading. Therefore, a study on the dynamic behaviour of concrete under quasi-static cyclic load is inevitable. Fortunately, the researchers explored that innovative materials could respond better to extreme dynamic loading. One of the serious issues is the demolition of rubber tyres, which may be solved by converting the same into crumb form as an innovative construction material. In the present study, experimental and finite element method-based numerical analysis shows a substantial improvement in fatigue, flexural, ductility, inelastic performance, and energy dissipation capacity of the alccofine-based crumb rubber concrete beam. These performances are observed experimentally under monotonic and quasi-static cyclic loads. The load-carrying capacity has also been predicted analytically; the results agree with the experimental and numerical ones.
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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 | 0.001 |
| 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".