Computer-Automated Triaxial Testing System for Assessing and Mitigating Sample Disturbance in a Natural Clay in the Laboratory
Bibliographic record
Abstract
Abstract A computer automation for a manual triaxial cell involved in designing new test instrumentation components and connections and in developing new controller software and supportive hardware for accurate functioning of the system during long test durations was undertaken to run high-quality, sophisticated triaxial tests for measuring the stress-strain properties of clays. For validation and further evaluation of the developed computer-automated triaxial testing system, a laboratory testing program was performed to investigate the effects of sample disturbance on laboratory-measured clay soil behavior and the mitigation of disturbance effects in the laboratory using two reconsolidation methods, the stress history and normalized soil properties (SHANSEP) method and the recompression method. Computer-automated triaxial tests were performed on specimens of Boston blue clay (BBC) from a test site (Newbury, MA) sampled using a Sherbrooke-type block sampler. The test results from the laboratory testing program are presented, including for (i) one-dimensionally consolidated undrained compression (CKoUC) tests on both normally consolidated (NC) and mechanically overconsolidated (OC) specimens using the SHANSEP method and (ii) anisotropically consolidated undrained compression (CAUC) tests using the recompression method. The CKoUC(NC) tests were performed to provide baseline SHANSEP data, and results were compared between CKoUC(OC) SHANSEP and CAUC recompression tests.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".