Influence of Rock Weathering and Saturation on Compressive Strength and Slope Stability: A Uniaxial Test Analysis
Bibliographic record
Abstract
The rock weathering process produces chemical and physical transformations in the rock mass, decreasing the soil's strength and stability.The presence of water in rocks reduces the coefficient of friction and cohesion between mineral particles, changing the mineral composition and microstructure of rocks, resulting in an increase in porosity and a decrease in rock strength, thus accelerating the collapse process.This study aims to determine the effect of the degree of saturation and weathering on the maximum compressive strength, safety factor, and slope failure line.The uniaxial compressive strength (UCS) test uses a compression machine to press the rock specimen until deformation.The UCS value of a rock sample is the stress that occurs in the rock sample when the sample collapses due to compression.This research uses 20 specimens taken from Trunojoyo Street, Payung Area, Batu City, consisting of three types of rock: breccia, clay and lapilli; for every kind of rock, 5 variations of saturation with 0-8 minutes of soaking.The results show the average SF value of specimens 1B, 2L, and 3L is 6,02, 2,55, and 1,81, where SF>1.25; it means that the slope conditions are stable and landslides rarely occur.The average SF value of specimen 2C is 1,14 at intervals of 1.07<x<1.25,meaning that the slope conditions are critical and landslides have occurred.Based on the loading index, the rock strength has a negative relation with the level of weathering.This means that the higher the level of weathering, the stronger the rock will decrease.
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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 | 0.000 |
| 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".