Response of Fly Ash Based Quarry Dust Cement Mortar to Magnesium Sulphate Attack
Bibliographic record
Abstract
Concrete is a ubiquitous construction material used globally to build bridges, homes, hospitals, schools and sewage systems.Concrete used in sewage systems is exposed to an aggressive environment, like elevated temperature and humid conditions, in addition to aggressive sulphate.The combined effect of these conditions results in the premature deterioration of structures.This study was investigated the effect of replacing cement by fly ash (FA) in cement mortar by different ratios and a quarry dust as sand.The reference mortar mix grade was (35 MPa) and the other mixes were with various percentages of FA (5%, 10%, 15%, 20%, 25%, 30%, and 35%) by weight of cement.This study evaluated the effect upon the compressive strength, splitting tensile strength, fracture strength, and modulus of elasticity of mortar containing FA exposed to the magnesium sulphate (MgSO4) with concentration 30000 mg/l.Mixes were created using varying ratios of FA to identify the optimal concentration; these were compared against normal concrete.At replacement ratios of 20% at all ages, optimum compressive strength, splitting strength, fracture strength, and elastic modulus were obtained.Conversely, mixes with replacement ratios greater than 20% produced less strength than the control mix (without FA).The FA mortar's strength remained higher than that of regular mortar exposed to the same conditions of magnesium sulphate after 28 days, despite a reduction in compressive strength.As result, the replacing some of the cement in the concrete mix, particularly in the ratio of 20%, with FA, the concrete can be formed that is more resistant and more capable to withstand MgSO3 attack.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".