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Record W2974024631 · doi:10.1002/cepa.1068

Study of the Rigidity of a Concentrically Braced Frame Connection Using End Plates

2019· article· en· W2974024631 on OpenAlexaff
Serge Parent, Nathalie Roy, David A. Gauthier

Bibliographic record

Venuece/papers · 2019
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsFlangeStructural engineeringConnection (principal bundle)Rigidity (electromagnetism)WeldingBraceStiffnessBraced frameBeam (structure)ConcentricColumn (typography)EngineeringSteel frameFrame (networking)Mechanical engineeringGeometryMathematics

Abstract

fetched live from OpenAlex

ABSTRACT In steel buildings, concentric braced frames are often used as lateral force resisting systems. In this type of systems, the connection between the beam‐gusset connection and the column may consist of end plates or double‐angle sections. Connection design with double angles is simple and well documented, but it requires the handling of many steel angles. On the other hand, single continuous end plate connection design is based on the use of a single plate, easily produced in the shop leading to a lesser risk of manufacturing errors. The purpose of this research project is to characterize the behaviour and stiffness of three types of connections used in a concentrically loaded braced frame: a standard double angle connection (DAC), a continuous end plate connection only welded to the web of the beam (EPW), and a continuous end plate connection welded all around to perimeter of the beam (EPF). The results of nine full scale samples are presented. These results use a HSS127×127x4.8 brace connected to a W310×45 or W460×52 beam. The beam‐gusset assembly connects to the web or to the flange of a W250×73 column. The connections are subjected to a progressive cyclic loading until failure in a full‐scale assembly in the laboratory. The preliminary results make it possible to characterize and compare the three types of connections attached to the web/flange of the column. In conclusion, the three connections have different stiffness factors. The EPF connection is the most rigid, followed by the DAC connection and finally the EPW connection.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.010
GPT teacher head0.215
Teacher spread0.205 · 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 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
Published2019
Admission routes1
Has abstractyes

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