Dimensional stability and mechanical performance of face-glued spruce-pine-fir and Douglas-fir studs
Bibliographic record
Abstract
Warpage of dimensional lumber has been identified to be the major issue for its use in wood construction prefabrication companies in North America. Face-gluing is a promising technique to mitigate warp of dimensional lumber. This paper studies the dimensional stability and mechanical performance efficacy of 2-ply face-glued lumber to reduce warpage in both Spruce-Pine-Fir (S-P-F) and Douglas-fir (D.fir) lumber. Planks were paired and subsequently laminated based on their initial dynamic modulus of elasticity (MOE) and shape compatibility. Warp was measured in twist, bow, and crook at varying moisture contents. Mechanical performance was measured through the MOE, modulus of rupture (MOR), and shear strength. This pairing regime between component planks offers a means to reduce the twist and bow tendencies of face-glued lumber while increasing the lumber strength uniformity. Flexural MOE and MOR performances were consistent with visual grades of No.1/No.2, showing the potential of face-glued lumber as a value-added product for the automatic prefabrication of wood constructions.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".