AN EXPERIMENTAL INVESTIGATION OF THE THERMOMECHANICAL PERFORMANCE OF WOOD STRUCTURES ASSEMBLED WITH DENSIFIED WOODEN DOWELS UNDER FIRE EXPOSURE
Bibliographic record
Abstract
This study presents an experimental investigation into the thermomechanical behavior of wood structures assembled with densified wooden dowels under fire exposure. The research focuses on Adhesive-Free Engineered Wood Products (AFEWPs), particularly adhesive-free cross-laminated timber (AFCLT) panels, and timber connections incorporating either thermo-mechanically compressed wooden dowels or conventional steel dowels. A series of thermal and thermomechanical tests were conducted to evaluate internal temperature distribution, charring behavior, and structural displacement at elevated temperatures. The fire performance of dowel-type connections was assessed by comparing the thermal response and deformation of joints using wooden and steel dowels. The results indicate that timber connections incorporating densified wooden dowels exhibited better thermal insulation and lower charring rates compared to those with steel dowels, thereby improving the overall fire resistance of the jointed assemblies. This study highlights the potential of densified wood dowel as a sustainable and fire-resilient alternative to metallic fasteners in engineered wood structures.
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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 | 0.000 |
| 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".