Modelling of thermo-mechanical behaviour of steel beam–column shear tab connections exposed to localized fires
Bibliographic record
Abstract
Localized nonuniform fires occur impacting the structural response of steel structures, with the nonuniformity of localized fires to induce both longitudinal and transverse temperature gradients. These nonuniform effects are important in both, evaluating the performance of structural details, and in the design methodology of more severe and complex scenarios such as travelling fires. Exploring the localized effects allows for more informed decisions about appropriate design strategies and reduces risk of failure of the structure. Therefore, finite element analysis (FEA) was conducted to produce a thermal response of a steel beam–column connection. Utilizing a decoupled thermo-mechanical analysis, the mechanical response of the assembly was found and both temperatures and midspan deflections were validated against three fire exposures of an experimental steel beam–column connection. The FEA results are in agreement with the experimental data, suggesting the capability of the FEA model to simulate the maximum influence of a localized fire event.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".