Threshold moisture content and matric suction potentials in expansive clays prior to initiation of cracking in pavements
Bibliographic record
Abstract
Numerous low- to medium-volume roads constructed on expansive clay subgrades have experienced severe pavement cracking and premature loss of serviceability. These roads often become distressed due to volume change associated with seasonal moisture content fluctuation in the underlying soils. An attempt is made in this paper to study field moisture content and soil suction potentials of expansive subsoils, and investigate the potentials at which soil and pavement cracking occur. Two types of sensors were utilized to measure volumetric moisture content and matric suctions in the soils. These sensors were installed at three pavement subgrade sites in Fort Worth, San Antonio, and Paris Districts in Texas, USA. Test results show that site environmental conditions, such as climate and large trees near the test sections, have a strong influence on expansive soil movements and related pavement cracking. Three possible scenarios where pavement cracking could occur in the field, determined from analysis of the data, are outlined. Theoretical correlation developed between the laboratory-based shrinkage strain tests and changes in soil compaction moisture content was successfully used to estimate surficial crack widths in the field. Finally, methods to control desiccation cracking in the field are outlined.
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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 | 0.001 | 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".