MétaCan
Menu
Back to cohort
Record W2023266736 · doi:10.1139/l04-095

Structural behavior of alternative low floor height system using structural "tee," half precast concrete, and horizontal stud

2005· article· en· W2023266736 on OpenAlexvenueno aff
Young K. Ju, Sang-Dae Kim

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2005
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrecast concreteStructural engineeringBeam (structure)SlabFlexural strengthComposite numberStructural systemMaterials scienceReduction (mathematics)EngineeringComposite materialMathematics

Abstract

fetched live from OpenAlex

Conventional composite construction consisting of steel beams and concrete slabs has been widely used throughout the world. When compared with a concrete flat-slab structure, however, the reduced beam height is a significant problem and is particularly important in a city where land prices are higher because a height reduction of 15 cm per storey can lead to a 750 cm reduction in the total height for a 50 storey building (equivalent to two storeys). In this paper a newly developed composite beam, the technical, economical, and convenient (TEC) beam, is proposed and experimentally investigated using a series of monotonic loading tests. The results show that the capacity of the proposed system is in agreement with design code predictions, and the system demonstrates a reliable composite behavior between steel beam and concrete slab.Key words: composite beam, steel structure, monotonic loading, flexural capacity.

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 score0.003
Threshold uncertainty score0.009

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)0.0030.000

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 head0.193
Teacher spread0.185 · 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

Citations16
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Civil EngineeringSame topicStructural Load-Bearing AnalysisFrench-language works237,207