Effect of Density on the Properties of Oriented Strandboard Web Stock Used in Wood I-Joists
Bibliographic record
Abstract
Numerical simulation of structural member behavior requires knowledge of mechanical properties. This study proposes a methodology to obtain reliable mechanical properties of the oriented strandboard (OSB) web of I-joists, including variability. OSB panel samples were scanned by X-ray densitometry to measure in-plane density variation. Specimens were cut from predefined homogeneous density areas in three different orientations (parallel, perpendicular, and diagonal to the strong axis) to measure three basic elastic properties required for an elastic model of the OSB web of I-joists: modulus of elasticity (MOE) parallel and perpendicular to the panel's strong axis and shear modulus (G). Given the required small specimen size, shear modulus was determined using a combination of in-plane tensile MOEs, including MOE at 45°. Results showed a strong relationship between OSB density and small-scale mechanical properties: coefficients of determination (R2) varied between 0.57 and 0.79. This provided information on I-joist OSB web mechanical properties as a function of density for input into a numerical model. Properties showed considerable variability in the 600 to 900 kg/m3 density range, with a 207 percent increase in tensile modulus of elasticity in the parallel direction, 187 percent in the perpendicular direction, and 172 percent at 45°. The mechanics-based OSB shear modulus equation used proved to be reliable.
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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".