Enhancing the Performance and Durability of Eco-Friendly Mortar with Diss Fibers (Ampelodesmos mauritanicus)
Bibliographic record
Abstract
This study investigates the potential use of Diss fibers as a sustainable alternative in ecoconstruction and civil engineering.The research introduced Diss fibers as aggregates, partially replacing conventional sand in mortar by volume with proportions of 1/3 and 2/3, aiming to create an eco-friendly and lighter mortar.In this context, various properties of the fresh mortars, such as density, workability, and occluded air content, were examined.Additionally, the mechanical performance in the hardened state, including compressive and flexural strengths, was evaluated.Durability parameters such as water absorption, capillary absorption, and resistance to aggressive media were also assessed.The results demonstrated that mortars incorporating Diss fibers were lighter and more workable.The inclusion of these fibers enhanced the flexural strength and chemical resistance, as evidenced by the low percentages of mass loss in aggressive solutions such as HCl and CH3COOH.However, the introduction of the fibers negatively influenced the mechanical resistance and water absorption-both by immersion and capillaritydue to the porosity introduced into the composites.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".