MétaCan
Menu
Back to cohort
Record W2105685855 · doi:10.1139/l08-022

Double-angle shear connections with short outstanding legs

2008· article· en· W2105685855 on OpenAlex
Yanglin Gong, A. G. Gillies

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsLakehead University
Fundersnot available
KeywordsBevelFillet weldWeldingStructural engineeringMaterials scienceShear (geology)Fillet (mechanics)Groove (engineering)PerpendicularComposite materialEngineeringGeometryMathematicsMetallurgy

Abstract

fetched live from OpenAlex

This paper describes an experimental study on double-angle shear connections with a narrow outstanding leg width from 31 to 37 mm. When connection angles are welded to a supporting column with a face width less than 152 mm, a common practice is either to weld the angles to the column by flare bevel groove welds or shorten the outstanding legs to accommodate fillet welds. This practice reduces the rotational capacity of the connections; and therefore confirmation of this practice is required. Three groups, comprising 12 full-scale connection specimens, were tested. Each group consisted of four specimens having three, four, five, and six bolts, respectively. Group A used 9.5 mm thick angles and fillet welds, group B used 6.4 mm thick angles and fillet welds, and group C used 9.5 mm thick angles and flare bevel groove welds. The test results demonstrated that both rotational and shear capacities of the connections are satisfactory when either of the two details are used.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.182
Teacher spread0.168 · 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