Laboratory Testing of Concrete-rock Joints in Constant Normal Stiffness Direct Shear
Bibliographic record
Abstract
Abstract This paper describes the experimental component of an extensive investigation into the shear behavior of joints formed between concrete or cement grout and soft, weak or weathered rock. Understanding the behavior of such joints is important for the prediction of performance of a diverse range of structural elements, such as drilled piers socketed into rock, rock anchors, and dam foundations. The particular tests described in this paper were carried out on joints formed between concrete and an artificial silstone called Johnstone, under conditions of constant normal stiffness, and involved a range of boundary conditions and interface profiles. Interfaces included a series of regular triangular asperities and irregular profiles based on fractal geometry concepts. The authors have included the complete suite of test results in the belief that it will be a significant addition to the literature, which currently contains very few results of constant normal stiffness tests. It also demonstrates the importance of realistically modelling interface roughness. Careful observations made during testing using time-lapse photography have aided in the development of a number of simple theoretical models of behavior, which are published elsewhere.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".