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.
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".