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Record W2017372282 · doi:10.1193/080611eqs195m

Direct Displacement‐Based Design of Industrial Rack Clad Buildings

2013· article· en· W2017372282 on OpenAlexafffund
A. B. M. Rafiqul Haque, M. Shahria Alam

Bibliographic record

VenueEarthquake Spectra · 2013
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAisleRackStructural engineeringEngineeringBraceCable glandDisplacement (psychology)BracingBeam (structure)Column (typography)Structural systemConnection (principal bundle)Mechanical engineering

Abstract

fetched live from OpenAlex

A rack clad building (RCB) is a type of warehouse building system built using steel storage racks as the seismic force resisting system. Generally, these rack systems are larger and taller compared to the conventional steel storage racks commonly used in warehouses. These buildings have peripheral racks that can support the claddings. These rack systems possess some unique properties, such as the members built using thin‐walled perforated steel sections and the beam‐to‐column connection utilizing a teardrop connector in the down‐aisle direction. Due to the pinched‐type hysteretic behavior of these connections, the structure shows unique behavior under lateral loading. To date, very little research has been carried out to determine the seismic performance of an RCB. Current building codes have no provisions for designing a RCB against seismic loading. This study presents a direct displacement‐based design (DDBD) procedure for designing these structures in the down‐aisle direction.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.999

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)0.0020.000

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 head0.022
GPT teacher head0.220
Teacher spread0.198 · 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.

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

Citations12
Published2013
Admission routes2
Has abstractyes

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