Splitting Strength of Mortise Members in Timber Frame Joints
Bibliographic record
Abstract
Splitting resistance of mortise members loaded perpendicular to grain in pegged mortise and tenon joints is an important property in the design of timber frame joints. This paper investigated the effect of loaded edge distance and wood species upon the strength of mortise members loaded perpendicular to grain. To prevent failure of the tenon or pegs, a steel tenon and Grade 8 bolts were substituted. Load and stiffness values from experimental results were significantly different for the factors of loaded edge distance and specific gravity. Perpendicular-to-grain splitting resistance from CSA 086 predicted values were equivalent to the lower specific gravity wood values tested. The Canadian design literature did not account for differences in specific gravity due to different wood species, particularly white oak which is commonly used in timber framing. Comparison of the mortise testing to previous mortise and tenon joint testing showed similar maximum load and stiffness performance.
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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 | 0.000 | 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 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".