Effect of Polypropylene Fiber on Shear Strength Parameters of Sand
Bibliographic record
Abstract
The principle of reinforced soil with fiber can be defined as a soil layer mass which includes randomly distributed discrete components, i.e. fibers, that supply on improvement in the engineering properties and mechanical behavior of the soil matrix. In this study, the effect of fiber reinforcement on shear strength parameters of sand was evaluated. In order to determine the shear strength parameters of unreinforced and reinforced sand specimen, the direct shear test was conducted. While the type of sand and fiber is kept constant, the effect of various percentages of polypropylene fiber on shear strength parameters of sand was tested in the laboratory. The main aim is to find the influence of fiber inclusion on the shear strength of dense sand specimens. For the experimental stud y of the research, polypropylene fiber with different percentage of 0.1%, 0.5% and 1.0% by weight of soil was used and the effect of fiber reinforcement on shear strength parameters of sand was investigated. The experimental study mainly consists of direct shear tests that are conducted unreinforced and reinforced sand samples prepared at a relative density of 65%. The results indicate that fiber mixtures can improve the shear strength of sand. The experimental results reveal fiber inclusion affected the strength parameters of sand and both angles of internal friction and cohesion displayed a significant improvement with an increase in fiber content in the soil matrix. Based on the experimental results, the effect of homopolymer polypropylene fiber on shear strength parameters of dry, dense and poorly graded quartz sand was analyzed.
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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".