Assessment of Various Self Healing Materials to Enhance the Durability of Concrete Structures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Concrete is a human-made construction material which is assembled by cement, coarse aggregate, fine aggregate and water. Concrete is susceptible to cracking, as small cracks have no effect but large cracks cause disintegration of concrete structures. These cracks will allow chemicals and gases to enter disturbing the lifespan of structures. Reconstruction and maintenance of concrete structures are most difficult and expensive because of labour cost, energy and cost required to produce cement are high. Self healing materials are used to heal the cracks of concrete structures. These materials are eco-friendly can heal the cracks by producing precipitated crystals like calcium carbonate. The inner portion of cracks can also be sealed by these self healing materials. The main aim of this paper is to represent the mechanisms of various materials, i.e. biological agent, chemical agent, supplementary cementitious materials, crystalline admixtures and super absorbent polymers used for self healing are detailed. The way of application of self healing material to concrete is briefed. Through this study the rate of self healing, mechanical properties and durability properties of concrete are computed. The micro structural behaviour of hydrated products is analyzed.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it