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Record W2156770215 · doi:10.1193/1.4000028

Repair of an 18‐Story Shear Wall Building Damaged in the 2010 Chile Earthquake

2012· article· en· W2156770215 on OpenAlexafffund
John Sherstobitoff, Primo Cajiao, Perry Adebar

Bibliographic record

VenueEarthquake Spectra · 2012
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of British ColumbiaPositive Living Society of British Columbia
FundersUniversidad de ChileUniversity of British ColumbiaMcGill University
KeywordsJackingShear wallRoofStructural engineeringShear (geology)CrackingGeotechnical engineeringFibre-reinforced plasticGeologyEngineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Three transverse shear walls at one corner of an 18‐story building in Santiago failed in flexural compression just below grade, causing the ground floor to drop 75 mm and the corner of the roof to displace laterally 185 mm. Cracking of walls and floor slabs caused significant building distortions. Nonlinear analyses of shear walls and floor slabs were used to understand the measured residual displacements and determine effective stiffnesses needed for a three‐dimensional (3‐D) model of the building. This model was used to estimate jacking forces needed to reposition the building. Existing cracks in shear walls were injected with epoxy, and fiber reinforced plastic (FRP) fabric was used to control new cracks. Instrumentation was used during jacking to monitor building movements, inclinations of walls and slabs, maximum compression and tension strains in walls, and crack widths. The building was repaired for less than 25% of the replacement cost and with much less impact on building habitants and the surrounding community.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.237
Teacher spread0.221 · 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 designCase report
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

Citations10
Published2012
Admission routes2
Has abstractyes

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