Energy Dissipation Potential of Square Tubular Steel Columns Subjected to Axial Compression
Bibliographic record
Abstract
Research into the post-buckling behavior of columns has typically been undertaken to establish safe design standards for compressive resistance rather than to evaluate the potential energy dissipation capacity under conditions of collapse. However, extreme events, such as very hot fires or acts of terrorism may require structural engineers to ascertain the possible consequences of a local failure that could manifest into a global collapse if adequate precautions are not taken in advance. Since a building’s columns are key to the avoidance of such a catastrophe, their collective ability to absorb energy under such conditions would be paramount to saving lives and minimizing the damage done to the structure overall. A test program on the crush resistance of square steel box sections was therefore undertaken to determine the amount of energy that could be absorbed, if subjected to axial loading exceeding maximum strength. For the eleven specimens, possessing slenderness ratios in the low intermediate range, and tested quasi-statically, all but one exhibited crush progression of inward and outward folds propagating over the length. The amount of energy absorbed thus determined far exceeded what might have been expected for H-shaped sections, namely mid-height plastic hinge buckling ultimately compressing into a scissors shape. Our results, therefore suggest that hollow squares are much more desirable as columns than open sections in such circumstances.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".