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Record W2125662929 · doi:10.1139/l04-031

Shake table testing of bookcase – partition wall systems

2004· article· en· W2125662929 on OpenAlexfundvenueaboutno aff
André Filiatrault, Steven Kuan, Robert Tremblay

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 tableShakeFragilityStructural engineeringPartition (number theory)Seismic hazardEngineeringTable (database)GeologyComputer scienceSeismologyMathematicsPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

This paper describes the seismic (shake table) tests conducted on bookcase – partition wall systems. These nonstructural building components can be considered acceleration sensitive (or motion sensitive) rather than drift sensitive. The shake table floor motions used for the seismic testing are described in a companion paper. One bookcase fully loaded with books and two different cantilevered partition wall systems were considered in the shake table tests. Nine different configurations of these free-standing nonstructural building components were tested. For each configuration, three different seismic hazard levels were considered for the motions at the second floor level of a six-storey building designed for two different densely populated Canadian cities (Montréal and Vancouver). A total of 485 shake table tests were conducted in this experimental investigation. The experimental results indicated that pounding between unanchored bookcases and partition walls is very beneficial to the dynamic response of the bookcases, as it prevents resonance from occurring. Also, the seismic performance of bookcases improved dramatically by the proper installation of seismic restraint systems. Experimental fragility curves for overturning of tall bookcases are presented.Key words: bookcases, earthquakes, fragility, interior partition walls, nonstructural, operational and functional components, pounding, seismic restraints, shake table.

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 score0.043
Threshold uncertainty score0.474

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 head0.010
GPT teacher head0.166
Teacher spread0.156 · 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

Citations34
Published2004
Admission routes3
Has abstractyes

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