Optimization of connection between traditional Japanese post and beam frames and Midply infills
Bibliographic record
Abstract
This thesis studied an optimized application of screw connections for a novel Japanese post and beam (J-P&B) shear wall system using Midply elements as infills. The connection is a single shear timber-to-timber screw connection between the frame's posts/beams and Midply's studs/chords. The research aimed to design an efficient connection composed of stronger but fewer fasteners based on theoretical and experimental studies. The connection's theoretical analysis was conducted first using EN1995, O86, and Tomasi methods, which revealed the remarkable contribution of the connection's axial resistance to the overall performance. High connection load-carrying capacities were obtained using inclined installed screws with appropriately arranged threads in both wood members. The analytical results were verified by 12 types of connection tests under monotonic load and 3 types of connection tests under reversed-cyclic load. Eventually, connection type 'CYL260-45V-18H' was selected as the candidate for use in the optimized system. A finite element (FE) model MPBWALL was developed to simulate the push-over response of the shear wall system, using the commercial software package SAP2000. Because of the particular layout of Midply, the sheathing's deformation is confined by studs/cords on both sides. The consequent 'stiffening' effect was considered in the model. Results of MPBWALL suggested two optimized wall configurations, MPB-01 and MPB-02, using CYL260-45V-18H as the connection. A total of 4 full-size shear walls were tested both under monotonic and reversed-cyclic load. Compared to conventional solutions, the optimized system yielded a higher wall multiplier of 5.52 (evaluation index of Japanese shear wall) using 38% fewer fasteners. In addition, the relative slip between the frame and infill was significantly reduced.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".