Experimental fire performance of unloaded stay-cables for bridge infrastructure
Bibliographic record
Abstract
The performance-based fire protection design of cable-supported bridge structures is becoming more common as stakeholders desire more resilient infrastructure. Currently, there exist significant knowledge gaps regarding the fire performance of structural steel cables. The study herein examines the thermal response of several varieties of unloaded steel-stay cables during exposure to a non- standard methanol pool fire. Eight stay-cables varying in configuration (locked and spiral coil), diameter (22,6 mm – 140 mm), and alloy (stainless and galvanized steel) are supported above a 0,6 m x 0,48 m methanol pool fire for duration of approximately 35 minutes. Thermocouples are instrumented at the top, core, and soffit of the cable structure at four different cross-sections to monitor heat transfer during and post-fire. Digital image correlation (DIC) is applied in conjunction with narrow-spectrum illumination to monitor the cable surface without optical interference from flames. Global and individual wire strains are calculated from the DIC analysis to quantify thermal expansion. Temperature data throughout the cable structure presents insight into the heat transfer of steel wire-rope elements. Preliminary results indicate individual wire thermal expansion is similar to that of the global cable structure and that interaction between adjacent wires may limit individual wire expansion. This implies thermal expansion may not be consistent until the cable cross-section is of uniform temperature.
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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 | 0.000 |
| 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) | 0.002 | 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".