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Record W2314652026 · doi:10.1061/41016(314)113

Experimental Investigation of the Cyclic Behavior of Concrete Frame Joints Reinforced with Double-Headed Studs

2008· article· en· W2314652026 on OpenAlexaffabout
Hatem Ibrahim, Mamdouh El‐Badry

Bibliographic record

VenueStructures Congress 2008 · 2008
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsReinforcementStructural engineeringJoint (building)DissipationShear (geology)Ductility (Earth science)Reinforced concreteMaterials scienceFrame (networking)Beam (structure)AnchoringEngineeringComposite materialMechanical engineeringCreep

Abstract

fetched live from OpenAlex

Current ACI and CSA code provisions recommend large amount of shear reinforcement for concrete frame joints in the form of closed hoops and cross ties to ensure confinement of the joint core. This reinforcement, along with the bends required for anchoring the beam bars, lead to significant congestion within the joint. Double-headed studs are proposed as shear reinforcement in lieu of conventional closed hoops and cross ties. Five full-scale frame joint specimens were tested under cyclic loading. One control specimen was designed without shear reinforcement within the joint. Another control specimen was reinforced with closed hoops and cross ties in the joint according to the Canadian Code provisions. The joints of the remaining three specimens were reinforced with two different arrangements and amounts of double-headed studs. In comparison with the joint without shear reinforcement, the specimens reinforced with headed studs exhibited considerable enhancement in the behavior, in terms of strength, ductility, and energy dissipation.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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

Citations1
Published2008
Admission routes2
Has abstractyes

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Same venueStructures Congress 2008Same topicStructural Behavior of Reinforced ConcreteFrench-language works237,207