Structural Performance of Stud Walls under Normal and Post-Earthquake Fire Exposure
Why this work is in the frame
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Bibliographic record
Abstract
Wood frame house construction is very common in North America. These structures are vulnerable to fire hazard, fire following an earthquake event is not uncommon. After an earthquake the structure may sustain a considerable damage and the fire resistance of the system will be significantly impaired. Current building codes do not take this into account adequately. This article presents a framework for carrying out a systematic study for post-earthquke fire performance of buildings structures. In addition, a simulation of fire performance of a stud wall system has been carried out. The wall system was a part of an earlier experimental study. The validated simulation model would be used from futher analysis of post-earthquake fire response as envisioned in the framework presented here.
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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 it