Charring properties and temperature profiles of laminated bamboo under single side of ISO 834 fire exposure
Bibliographic record
Abstract
The charring properties and temperature profiles were studied for laminated bamboo exposed on one-side to ISO 834 fire. A linear model was adopted to represent the charring depth-time relationship. The average charring rate of laminated bamboo was around 1 mm/min, and the charring rate decreased as the total time increased. The temperature of the char front was approximately 270 °C, which was determined via analysis of the time-temperature curve. An additional mathematic model was developed to predict the temperature distribution in the uncharred zone under such conditions, and an abrupt change in temperature was witnessed near the char front. When compared to several different timber species found in previous literature and fire resistance standards, the charring rate of laminated bamboo was relatively high; therefore, future research should focus on way to strengthen the fire retardancy of laminated bamboo.
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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".