Performance of Cement Mortars under Tannery Wastewater
Bibliographic record
Abstract
This research studied the performance of Ordinary Portland Cement (OPC) and Portland Composite Cement (PCC) composites when exposed to tannery wastewater (TWW), which is generated in large quantities in different tannery industries in Bangladesh. With increasing prospects for tanning industries in the country, selection of suitable construction material will enable sustainable development in this sector. TWW consists of several chemicals that have detrimental effects on concrete. Performances of OPC and PCC were measured in terms of strength, expansion, and weight loss. Microstructures of the test specimens were also studied through Scanning Electron Microscopy (SEM), X-ray Powder Diffraction (XRD), and Energy-dispersive Spectroscopy (EDS) analysis. Results revealed that PCC test specimens performed better compared to those of OPC in terms of strength and degradation when exposed to TWW. The inferences made from this study will be helpful for selection of suitable cement type in future structures exposed to similar severe conditions.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".