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Long-Term Behavior and Strength of Partially Encased Composite Columns Made with Built-Up Steel Shapes

2003· article· en· W1986034953 on OpenAlexafffund
Thierry Chicoine, Bruno Massicotte, Robert Tremblay

Bibliographic record

VenueJournal of Structural Engineering · 2003
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsPolytechnique Montréal
FundersPolytechnique MontréalNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsTransverse planeMaterials scienceShrinkageCreepStructural engineeringComposite numberComposite materialFailure mode and effects analysisWeldingEngineering

Abstract

fetched live from OpenAlex

A comprehensive study has been conducted to investigate the long-term behavior and strength of partially encased composite columns made with thin-walled welded I sections stiffened with transverse links. The paper presents the strain measurement history and load deformation response of five 300×300mm and two 450×450mm stub-column specimens. Four specimens were loaded for 150 days, following a typical construction sequence, and five columns were tested up to failure. Long-term axial deformations due to shrinkage and creep of the concrete were recorded and are compared to prediction models. The tests showed that the relatively higher stresses in the steel shape due to the sequence of loading and shrinkage and creep of the concrete had no significant effect on the failure mode and ultimate capacity for this type of column. The transverse stresses in the web of the steel shape were lower in specimens subjected to long-term loading. The axial stresses in the transverse links at peak load, caused by the transverse expansion of the concrete, were found not to depend on the loading sequence.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.008
GPT teacher head0.213
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), 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

Citations64
Published2003
Admission routes2
Has abstractyes

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