Numerical Study on Flexural Response of Cement Mortars Fortified with Sustainable Graphene Derivative
Bibliographic record
Abstract
This study aims to predict the flexural response through a 3D non-linear finite element model of plain and modified cement mortar incorporating a sustainable graphene derivative, denoted as D-GSH, synthesized from dune sand and date syrup.The addition of D-GSH in cement mortars was considered by dune sand replacement.Preliminary experimental compressive strength and modulus of elasticity yielded 53 and 45% enhancements upon the addition of 0.3% D-GSH, as a replacement of dune sand.ABAQUS software was employed to simulate a three-point load test on mortar prism specimens, encompassing both tensile cracking and compressive crushing mechanisms.Numerical simulation of three-point bending tests revealed a notable 27% increase in peak load and a 16% larger mid-span deflection upon the addition of 0.3% D-GSH, replaced by dune sand in cement mortars, demonstrating improved resistance and deformability.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".