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Record W2754257685 · doi:10.1002/cepa.338

11.04: Examination of the Canadian provisions for the seismic stability of steel structures

2017· article· en· W2754257685 on OpenAlexaffabout
Nicolas Breton, Robert Tremblay

Bibliographic record

Venuece/papers · 2017
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsBucklingStructural engineeringBracingGeologySeismic analysisGround motionBraced frameGeotechnical engineeringSeismologyEngineeringFrame (networking)Brace

Abstract

fetched live from OpenAlex

ABSTRACT This article presents the seismic stability provisions of the CSA S16 design standard for steel structures in Canada. These provisions include notional lateral loads as well as lateral load amplification for P‐delta effects evaluated at maximum lateral displacements including inelastic response. The impact of these provisions is examined through nonlinear response history analyses performed on single‐degree‐of‐freedom models representing steel braced frames for buildings varying from 1 to 15 storeys in height. Buckling restrained braced frames and concentrically braced frames are investigated. The structures are located in eastern and western seismic regions of Canada to account for the difference in anticipated ground motion signature. For each location, firm ground and soft soil conditions are considered. The results show that current code provisions for seismic are sufficient to ensure stable seismic response of structures located in eastern Canada where ground motions are richer in high frequencies. Structural collapse was observed for one third of the structures located in western Canada. Most failures occurred for taller buckling restrained braced frames subjected to long duration subduction interface earthquakes. Collapse also took place for low‐rise concentrically braced frames.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.222
Teacher spread0.208 · 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 designNot applicable
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
Published2017
Admission routes2
Has abstractyes

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