MétaCan
Menu
Back to cohort

Seismic Retrofit of Concrete Shear Walls with SMA Tension Braces

2017· article· en· W2768306273 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 · 2017
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsYork University
Fundersnot available
KeywordsBracingDissipationRetrofittingSMA*Structural engineeringDuctility (Earth science)Materials scienceShear wallShear (geology)Shape-memory alloySeismic retrofitSquatCrackingTension (geology)SpallGeotechnical engineeringUltimate tensile strengthReinforced concreteComposite materialGeologyEngineeringBraceComputer scienceCreep

Abstract

fetched live from OpenAlex

A bracing system consisting of tension-only superelastic nickel-titanium shape-memory alloy (SMA) was developed and implemented as a retrofitting methodology for seismically deficient squat reinforced concrete shear walls. The bracing system incorporates SMA links that serve as resettable fuses with unique recentering and energy-dissipation properties that result in improved hysteretic response. This paper focuses on one-third-scale walls that represent pre-1970s reinforced concrete shear walls susceptible to shear sliding and diagonal tension cracking. Four walls, two control and two retrofitted with the SMA bracing system, were tested under reversed cyclic loading. The SMA braces demonstrated excellent performance as a retrofitting device, improving the seismic response of squat reinforced concrete shear walls, including lateral strength capacity, ductility, energy dissipation, and displacement recovery. The retrofitting system was central in minimizing damage at the base of the walls.

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 score0.100
Threshold uncertainty score0.446

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 head0.202
Teacher spread0.195 · 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