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Record W4293074007 · doi:10.11159/iccste22.237

Experimental Investigations of Axially Loaded Square Concrete-filled Double Steel Tubular Slender Columns with inner Circular Tube

2022· article· en· W4293074007 on OpenAlexaffvenue
Shicai Chen, Mizan Ahmed, Junchang Ci, Wensu Chen, Khaled Sennah

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAxial symmetrySquare (algebra)Tube (container)Materials scienceStructural engineeringComposite materialEngineeringGeometryMathematics

Abstract

fetched live from OpenAlex

This paper reports an experimental work carried out on the square concrete-filled double steel tubular (CFDST) slender columns with an inner circular tube under concentric loading. The influences of the column slenderness ratio and the thickness of the inner steel tube on the performance of the square CFDST slender column are investigated. The applicability of the design recommendations given by Eurocode 4 for conventional concrete-filled steel tubular columns is evaluated in designing square CFDST slender columns under concentric loading. It is found that the performance of the square CFDST slender column is significantly influenced by the column slenderness ratio and the thickness of the inner steel tube. Furthermore, the design specification given by Eurocode 4 significantly underestimates the ultimate strength of square CFDST slender columns under concentric loading.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.208
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

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