CYCLIC BEHAVIOR OF MORTISE-TENON JOINTS REINFORCED BY SELF-TAPPING SCREW
Bibliographic record
Abstract
In this study, fully-thread countersunk head self-tapping screw (STS) with outer diameter of 6 mm and 8 mm were used to reinforce the mortise-tenon (MT) joints with horizontal and inclined insertion methods.A total of fifteen cyclic loading tests were carried out for one group of unreinforced joints and five groups of reinforced joints, and the load-carrying capacity, strength, stiffness, ductility and energy dissipation of these joints were evaluated.The results showed that larger diameter STS and more STS could improve the load-carrying capacity and initial stiffness of the joints, although it might accelerate the damage to the joints and change the failure modes of MT joints.In addition, different reinforcement methods had different improvement effect, as the joints reinforced by STS horizontal insertion had a more significant improvement in the load-carrying capacity, while the inclined insertion of STS had a more significant improvement in the initial stiffness.This study provides data for reinforcement of MT joints with STS, and different reinforcement methods can be selected according to different engineering requirements.
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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) | 0.000 | 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) | 0.001 | 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".