Modeling the reliability of wood tension members exposed to elevated temperatures
Bibliographic record
Abstract
The merit of approaching fire safety design from the standpoint of reliability is the impetus of this paper.Reliability, a direct function of time to failure, is a measure of performance that falls naturally under a performance-based code.The objectives of this study focus on advancing our understanding of the structural behavior of light-frame wood members subject to tension and elevated temperatures, and on thc time to failure under a given stress and temperature history.A model based on linear darnagc accumulation theory was developed to predict the time to failure.This model is based on a kinetic theory for strength as a function of temperature and stress, coupled with a kinetic term, to express the pyrolytic process as a form of damage.The model, which requires the short-term strength as an input, fits well to experimental data on nominal 2 x 4 structural lumber tested at three different rates of tension loading, and at 150, 200, and 250C, and room temperature.The model also predicts, with rcasonahlc accuracy, the behavior of lumber under constant-load at 250C.It predicts that lowergrade material gcncrally has a lowcr reliability index; however, those differences are insignificant as far as current design practices arc conccrned.The reliability is sensitive to variability in temperature but not to variability in strcss.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".