Stability Capacity and Lateral Bracing Requirements of Wood Beam-Columns
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Bibliographic record
Abstract
This paper presents a study on the stability capacity and lateral bracing requirements of wood beam-columns subjected to biaxial eccentric compression loads. Material property tests and wood beam-column tests were conducted to provide input parameters and verification to a finite element method based numerical analysis model. The model provided good predictions of the maximum compression load, midspan lateral deflection and lateral bracing force of the wood beam-columns. A parametric study was conducted for the effect of the lateral bracing stiffness, load eccentricity and initial lateral deflections. The adequacy of the 2% rule-of-thumb, Winter’s and Plaut’s methods was also studied by comparing to the test results of the lateral bracing force. The developed model and its output can be used to improve the design methods of the lateral bracing systems of wood beam-columns.
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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 | 0.000 |
| 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 it