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Record W4405048521 · doi:10.1139/cjce-2023-0538

Experiments on T-stiffener and Doubler Plate Reinforced Moment Connections for Wide-Flange Beams and RHS Columns in Type LD MRFs: Recommendations for CSA S16

2024· article· en· W4405048521 on OpenAlexafffundvenue
Rebecca K. Clahane, Kyle Tousignant

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaMitacsCanadian Institute of Steel Construction
KeywordsFlangeStructural engineeringMoment (physics)EngineeringReinforced concretePhysics

Abstract

fetched live from OpenAlex

Two beam-to-rectangular hollow section (RHS) column connections were investigated to assess the CSA S16:24 design requirements for limited-ductility (Type LD) moment resisting frames (MRFs). The first connection was reinforced externally using T-stiffeners, and the second had top and bottom flange plates welded to a doubler plate reinforced RHS wall. This paper presents a comparison of the CSA S16:24 design requirements for Type LD MRF connections to the AISC 341-22 design requirements for ordinary moment frames; a rational design approach for each of the two beam-to-column connections; and the results of an experimental program comprising two quasi-static and four reverse cyclic tests on full-scale assemblies. An evaluation of the connections’ strength, stiffness, and overall behaviour is made, and both connections are shown to meet the performance requirements of CSA S16:24 Clause 27.4.4.c. Recommendations are provided to facilitate the use of RHS columns in Type LD MRFs.

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 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 score0.165
Threshold uncertainty score0.590

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 head0.021
GPT teacher head0.238
Teacher spread0.217 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2024
Admission routes3
Has abstractyes

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