THEORETICAL MODELING OF BONDING CHARACTERISTICS AND PERFORMANCE OF WOOD COMPOSITES. PART IV. INTERNAL BOND STRENGTH
Bibliographic record
Abstract
A mechanistic model was developed to predict the internal bond (IB) strength of wood composites.Based on the earlier models reported in this series, the IB model integrates the mechanisms of inter-element contact, resin distribution, and localized bond development and debonding failure.Experimental tests were also conducted, and the results compare favorably with model predictions.It was discovered that a composite product having large horizontal density variations typically realizes less than 50% of the bond strength attainable between its constituent elements.The loss of bonding strength is attributed to the premature debonding of low-density regions, and the subsequent load concentration and failure-acceleration of the higher-density regions.The model predicts IB as a function of product density, wood density, resin content, and element dimensions.The IB improves with an increase of product density, resin content, and element thickness.The relationships are monotonic and nonlinear, resulting from their interactions on the contact development or/and the resin coverage.The relationship between IB and wood density is also nonlinear and dependent upon the product density.Implications of the predictive results on fundamental understanding and optimization of wood composite bonding are discussed.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".