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Record W2078012927 · doi:10.1139/l04-030

Generation of floor accelerations for seismic testing of operational and functional building components

2004· article· en· W2078012927 on OpenAlexfundvenueaboutno aff
André Filiatrault, Robert Tremblay, Steven Kuan

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2004
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
FundersPublic Works and Government Services CanadaGovernment of Canada
KeywordsEarthquake shaking tableEarthquake simulationSeismic hazardPeak ground accelerationAccelerationShakeGeologyMagnitude (astronomy)Structural engineeringNonlinear systemSeismic analysisBuilding codeSeismologyGround motionEngineeringGeotechnical engineeringPhysics

Abstract

fetched live from OpenAlex

The main objective of this paper is to establish floor accelerations to be used for shake table testing of operational and functional components that are sensitive mainly to horizontal accelerations. For this purpose, two different ensembles of floor accelerations were generated from nonlinear time–history dynamic analyses of three- and six-storey building models incorporating ductile reinforced concrete cantilevered walls. The first ensemble was generated based on synthetic ground motions representative of the intraplate regions of eastern Canada, and the second ensemble was generated from synthetic ground motions representative of the crustal and subcrustal earthquakes of western Canada. The ground motions were selected based on the deaggregations of the seismic hazard for each region in terms of most likely magnitude – epicentral distance scenarios. The building models were designed in accordance with the current seismic provisions of the National Building Code of Canada applicable for each region. Application of the resulting floor accelerations in shake table testing of free-standing bookcases and interior partition walls is reported in a companion paper.Key words: floor accelerations, ground motions, nonlinear dynamic analyses, nonstructural, operational and functional components.

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 score0.271
Threshold uncertainty score0.355

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 head0.038
GPT teacher head0.209
Teacher spread0.171 · 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

Citations10
Published2004
Admission routes3
Has abstractyes

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