Durability assessment of masonry specimens built with waste fibre added cementitious composite in acidic environment
Bibliographic record
Abstract
The mortar strengthening method to augment the seismic performance of masonry buildings has become popular due to its easy application and significant improvement. However, the durability aspect of such fibre-reinforced structures is rare in the literature. Hence, the current research focuses on studying the durability of mortar/masonry specimens built with fibre-reinforced mortar against acidic environments. Three waste fibres, i.e., polyethylene terephthalate (PET), coconut, and nylon, with proportions (by weight) of 0.75%, 0.30%, and 0.20%, respectively, were used to reinforce the mortar. The specimens were exposed to 3% H2SO4 (sulphuric acid) solution for 180 and 360 days. Compression tests on mortar cubes and diagonal shear and flexural tests were carried out on masonry wallettes. It was noticed that the acidic solution had the most severe effect on unreinforced specimens compared to fibre-reinforced specimens. The reduction in change in weight (%), compressive strength (%), shear strength (%), and flexural strength (%) in the case of fibre-reinforced specimens was up to 45.1%, 27.4%, 46.5%, and 38.2%, respectively, compared to their corresponding unreinforced specimens. Furthermore, PET and nylon fibre-reinforced specimens outperformed coconut fibre-reinforced specimens. Hence, it was concluded that synthetic fibre-reinforced mortar is the better option for masonry structures for an acidic environment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".