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Record W2246020202 · doi:10.2495/eres070331

Development of a digitally-controlled single-axis earthquake shake frame for masonry walls testing

2007· article· en· W2246020202 on OpenAlexaffabout
Monica J. Guzman, Shelley L. Lissel

Bibliographic record

VenueWIT transactions on the built environment · 2007
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsShakeMasonryFrame (networking)Earthquake shaking tableStructural engineeringSoftwareEngineeringData acquisitionGeologyGeotechnical engineeringComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

For the evaluation of masonry specimens' response under seismic forces, a 2actuator, single-axis shake frame was developed at the University of Calgary.The system works with hydraulic power and contains specialized hardware and software for management and control.These include MTS Multipurpose TestWare for the control of the Hydraulic System and National Instruments SCXI and LabVIEW for the data acquisition.Tests using the El Centro earthquake (1940) with just the shake frame mass, and with additional mass (two 200 mm concrete masonry walls 1 m long x 1.6 m high), indicated the satisfactory functionality of the shake frame.In addition, a comparison between the masonry walls' behaviour under earthquake loads and a finite element (SAP2000) model was carried out and is presented here.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.024
GPT teacher head0.201
Teacher spread0.177 · 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 designBench or experimental
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
Published2007
Admission routes2
Has abstractyes

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