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Record W2316555255 · doi:10.1061/9780784412848.188

Effect of Composite Action on the Dynamic Stability of Special Steel Moment Resisting Frames Designed in Seismic Regions

2013· article· en· W2316555255 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

VenueStructures Congress 2013 · 2013
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsStructural engineeringComposite numberStiffnessBending momentSlabMaterials scienceMoment (physics)Rotation (mathematics)Action (physics)Beam (structure)BendingFrame (networking)Composite materialEngineeringComputer sciencePhysicsMechanical engineering

Abstract

fetched live from OpenAlex

Seismic assessment of steel frame structures is typically concerned with analytical modeling of the lateral load-resisting system only, ignoring the effect of composite action on its lateral stiffness and strength. Based on a recently developed database for deterioration modeling of steel beams with reduced beam sections (RBS), the effect of composite action on their bending strength and deterioration parameters (e.g. plastic rotation capacity, post capping rotation capacity, rate of cyclic deterioration) under cyclic loading can be quantified. These connections are widely used in United States in design of special steel moment resisting frames. A phenomenological model, which is able to simulate important deterioration modes when a steel component is subjected to cyclic loading, has been modified to incorporate slab effects on moment-rotation characteristics of composite steel beams. The effect of composite action on the collapse capacity of SMFs is demonstrated through a case study of an 8-story steel building.

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 score0.158
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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