Modification of the Geotechnical Properties of Loess Using Eggshell Waste (El'Mghair Region)
Bibliographic record
Abstract
Soil stabilization with eggshell waste is an important aspect of sustainable engineering and environmental management.It offers a cost-effective and environmentally friendly solution for improving the physical and mechanical properties of soils.This study investigates the transformative impact of eggshell as a soil treatment agent on loess soil (EM).Various tests, including Proctor, collapse potential, Atterberg limits, shear strength, and chemistry of the loess were conducted to assess the changes in soil properties with different eggshell content (0, 2, 4, 6, 8 and 10%).The results reveal that eggshell significantly affects soil compaction, stability, plasticity, and shear strength.Notably, the addition of eggshell, especially at 10% content, shows promise in enhancing soil properties, making it a potential candidate for soil stabilization and moisture management applications.However, the complex relationship between eggshell content and soil behavior underscores the need for further research to unlock its full engineering potential and optimize its application in treating loess soil.Overall, soil stabilization with eggshell waste provides a sustainable alternative to traditional stabilizers, contributing to the goal of environmentally friendly and cost-effective solutions in civil engineering.
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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 | 0.000 |
| 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) | 0.001 | 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".