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Behavior of Steel Shear Connections under Column-Removal Demands

2014· article· en· W2011660632 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 · 2014
Typearticle
Languageen
FieldEngineering
TopicStructural Response to Dynamic Loads
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStructural engineeringShear (geology)WeldingMaterials scienceConnection (principal bundle)Robustness (evolution)Deformation (meteorology)Geotechnical engineeringEngineeringComposite material

Abstract

fetched live from OpenAlex

An understanding of the behavior of shear connections in steel gravity frames under the unique combinations of moment, shear, and axial force relevant to extreme loading conditions is necessary to assess the vulnerability of a structure to disproportionate collapse. However, such an understanding is currently limited by a deficiency of physical test data. To investigate the inherent robustness of commonly used steel shear connections, an experimental program consisting of 35 full-scale physical tests was completed. Specimens included shear-tab, welded-bolted single-angle, bolted-bolted single-angle, and bolted-bolted double-angle connections. A testing procedure was developed that imposed on a connection the force and deformation demands that would be expected in the bays immediately adjacent to a compromised column in a symmetrical multibay frame. Various geometric arrangements of each connection type were tested, and each arrangement was subjected to a range of loading histories representing different column-removal scenarios. The test results characterize the load-development history, deformation mechanisms, and expected failure modes following column removal for each type of connection. Connection strength and ductility limits under the effects of this unique type of combined loading are quantified.

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 score0.279
Threshold uncertainty score0.812

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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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