Mechanical performance of mortise and tenon joints pre-reinforced with slot-in bamboo scrimber plates
Bibliographic record
Abstract
This study was aimed at examining the mechanical performance of mortise and tenon joints reinforced with slot-in bamboo scrimber plates. 27 full-scale specimens were manufactured with engineered wood and bamboo products using computer numerically controlled (CNC) technology, then they were tested under monotonic loading. The initial stiffness and moment carrying capacity of joints with different reinforcing configurations were obtained from the established moment–rotational angle relationships. It was found that the initial stiffness of the reinforced mortise and tenon joints increased by 11.4 to 91.8% and the moment carrying capacity increased by 13.5 to 41.7%, respectively. The total width and grain orientation of the reinforcing plates had significant influence on the mechanical performance of the mortise and tenon joints. Fastening the plates to tenon with dowels was beneficial to the mechanical performance of the joints. The embedment length and adhesive type had no significant influence to the structural performance of the joints. This study demonstrated the feasibility of pre-reinforcing mortise and tenon joints in new timber construction, and could assist to promote the application of mortise and tenon joints in modern timber structures.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".