NUMERICAL MODELLING OF CONTEMPORARY MASS TIMBER CONNECTIONS IN FIRE
Bibliographic record
Abstract
Timber buildings are becoming increasingly popular due to their sustainability and aesthetic appeal. There remains however, a need to fully understand the fire performance of mass timber construction, including the fire performance of the connection. Beam-column connections can be complex to assess in fire, due to the proprietary and custom nature of many connection designs. The purpose of this study is to create a numerical model that can assess the residual fire resistance capacity of mass timber connections exposed to fire. This endeavour was completed using finite element modelling considering heat transfer of mass timber connections. Two approaches were taken, first, the heat flux through the fastener's shank establishes the reduction factors that predict the residual thermal capacity of fasteners, and the second establishes the residual length of penetration that provide adequate structural capacity into timber elements. These thermal analyses work towards developing a simplified design method for evaluating mass timber connections exposed up to two hours of standard fire exposures. By providing additional information related to the expected temperatures and strengths of timber connections in fire, novel designs become more accessible for innovative timber structures.
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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 | 0.000 |
| 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) | 0.000 | 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".