Effect of an Intermediate Material Layer on the Lateral Load-Slip Characteristics of Nailed Joints
Bibliographic record
Abstract
The current understanding of the performance of nailed connections within light frame shear walls is limited to situations where sheathing is either in direct contact with framing, or with a small air gap in between the sheathing and framing. Current design standards in Canada conditionally allow the use of shear walls with a layer of gypsum wallboard between the sheathing and framing without compromising shear wall capacity. This type of wall assembly was experimentally tested on 132 tensile specimens replicating nailed connections in shear walls, incorporating intermediate material thicknesses ranging from 0 mm to 38.1 mm of gypsum wallboard or rigid insulation. Finite element and analytical models were created to simulate the performance of a nailed connection, and were validated by the experimental results. Results from this study suggest that adding gypsum or insulation will greatly decrease the capacity and stiffness of the connection.
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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) | 0.001 | 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 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".