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Record W2804414198 · doi:10.1139/cjce-2017-0595

Performance of pre-1970s squat reinforced concrete shear walls

2018· article· en· W2804414198 on OpenAlexaffvenueabout
W. Leonardo Cortés-Puentes, Dan Palermo

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsYork UniversityNational Research Council Canada
Fundersnot available
KeywordsStructural engineeringShear (geology)Shear wallSeismic analysisReinforced concreteGeotechnical engineeringSquatSeismic loadingGeologyEngineering

Abstract

fetched live from OpenAlex

The seismic performance of pre-1970s squat reinforced concrete shear walls is assessed with the capacity spectrum method to expose structural deficiencies that arise due to current estimates of seismic demands. The walls are 1/3 scale models of a prototype building, designed and detailed in accordance with the 1965 edition of the National Building Code of Canada (NBCC-1965) for four locations, two in high seismic zones in western Canada and two in moderate seismic zones in eastern Canada. Seismic demands for different drifts are evaluated against the spectral capacities of the walls to determine the performance. The seismic demands are based on uniform hazard spectra specified by the NBCC-2015. The calculated effective damping and the spectral capacity of the walls are determined from the force–displacement envelopes of the reverse cyclic responses of the shear walls. In addition, spectral capacities based on experimental and numerical results are used to study the effect of axial load and low-strength reinforcing steel on the performance of the shear 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.

How this classification was reachedexpand

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 score0.010
Threshold uncertainty score0.644

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 head0.005
GPT teacher head0.176
Teacher spread0.170 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations8
Published2018
Admission routes3
Has abstractyes

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