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Economical Steel Plate Shear Walls for Low-Seismic Regions

2013· article· en· W2062778080 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 · 2013
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsShear wallSteel plate shear wallDissipationDuctility (Earth science)Structural engineeringShear (geology)Seismic analysisStructural loadSeismic loadingGeologyMaterials scienceGeotechnical engineeringEngineeringComposite material

Abstract

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Previous research on steel plate shear walls (SPSWs) and current design codes have focused principally on achieving highly ductile behavior through stringent detailing requirements. As such, the system is generally considered to be economical only in high-seismic regions. However, lower demands in other regions may permit the use of more economical options. This paper describes a proposed concept for SPSWs that meets the intent of capacity design, while greatly improving competitiveness in seismic regions where maximum ductility is not required. A large-scale, 2-story SPSW specimen was tested to evaluate the associated performance. The wall had standard double-angle beam-to-column shear connections and was tested under vertical gravity load concurrent with reversing lateral loads at each floor level. The specimen survived 25 lateral load cycles, 18 of which were in the inelastic range. The test results indicated that excellent performance can be expected in low-seismic regions, despite significantly reduced costs, compared with traditional designs. The shear wall showed stable performance at large lateral deformation ratios with high levels of ductility and energy dissipation capacity.

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 score0.079
Threshold uncertainty score0.967

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 communication0.0000.001
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 head0.190
Teacher spread0.184 · 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