EXPERIMENTAL INVESTIGATIONS ON THE STIFFNESS OF STEEL-TIMBER DOWEL-TYPE CONNECTIONS IN BEECH LVL
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Bibliographic record
Abstract
With the increasing complexity of timber structures, accurate computational prediction of the load-deformation behaviour of joints is becoming more important for design. In particular, the initial stiffness is a relevant parameter. Therefore, a detailed knowledge of the parameters influencing the connection stiffness is required, but is currently not available for hardwoods. A comprehensive database on the load-deformation behaviour of steel-timber dowel-type connections in beech LVL is being developed on the basis of experimental tests currently being carried out at the University of Stuttgart. The aim is to enable the efficient use of hardwoods in high-performance yet easy-to-manufacture connections by realistically predicting connection stiffness. This paper will give an overview on the first results.
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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 | 0.001 |
| 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 it