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RHS-to-RHS Zero-Gap K-Connections

2022· article· en· W4223967028 on OpenAlex

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.

Bibliographic record

VenueJournal of Structural Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChord (peer-to-peer)Finite element methodStructural engineeringParametric statisticsWeldingConnection (principal bundle)MathematicsEngineeringGeometryComputer scienceMechanical engineeringStatistics

Abstract

fetched live from OpenAlex

The design of a rectangular hollow-section K-connection in which the branches are welded toe-to-toe to the chord is not permitted at present in design guides and codes. To illustrate the feasibility of such connections, two full-scale cold-formed welded rectangular hollow-section K-connection laboratory tests, including one control specimen and one zero-gap specimen, are presented. A new chord face shear analytical model based on a yield-line mechanism is proposed for such connections, and its validity was evaluated against the experiments. Nonlinear finite-element connection models were built and validated against the laboratory tests, and a numerical parametric study was performed on similar connections with a broader range of parameters. From the results of the finite-element study, an empirical connection strength model was also generated by regression curve-fitting. Based on the experimental and numerical data, the proposed chord face shear analytical model is recommended for design of rectangular hollow-section zero-gap K-connections. The gap size can also be increased up to the summation of the two branch thicknesses.

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 score0.112
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.200
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