12.16: Numerical investigation of the local buckling behaviour of high strength steel circular hollow sections
Bibliographic record
Abstract
ABSTRACT The introduction of high‐strength steel (HSS) hollow sections with yield strengths of fy=690 MPa and beyond in the construction sector is currently made more difficult by a lack of knowledge on the specific local and local+global buckling behaviour of slender HSS cylindrical hollow‐sections. With rising yield strength, buckling phenomena become more relevant. Eurocode 3 design provisions classify CHS as “slender \ class 4” at a diameter to thickness ratio of D\t=90·∊2, with ∊2=235\fy. For HSS with fy=690 MPa and beyond, the majority of cold‐formed and many hot‐finished CHS will be class 4 and should be designed accordingly. However, no straightforward rules for the design of class 4 HSS CHS are found in EC3. This paper discusses initial numerical studies on the specific local buckling behavior of HSS CHS sections. The study represents the initial steps in the recently initiated RFCS research project “HOLLOSSTAB”, during which new design rules for HSS hollow sections are developed on the basis of an “Overall Interaction Concept” (OIC). This concept – similarly to the Direct Strength Method (DSM) used in North America for the design of cold‐formed steel open cross‐sections – makes use of the results of (numerical) linear buckling analyses (LBA) for the whole member to determine the slenderness and consequently an “overall” buckling reduction factor. The paper discusses how this approach fits into the general framework of buckling design checks for cylindrical structures, discusses existing rules and their implications for HSS CHS, shows numerical results and introduces initial design proposals based on the OIC approach.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".