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Record W3127977481 · doi:10.2749/vancouver.2017.0430

Seismic Performance of Cross Laminated Timber (CLT) Platform Building by Incremental Dynamic Analysis

2017· article· en· W3127977481 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReport · 2017
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsFPInnovationsUniversity of Northern British ColumbiaUniversity of British Columbia
Fundersnot available
KeywordsOpenSeesCross laminated timberOrthotropic materialStructural engineeringFinite element methodShear wallSeismic analysisGeologyIncremental Dynamic AnalysisSeismic loadingEngineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

<p>The present study performed Incremental Dynamic Analysis on a case study Cross-laminated timber (CLT) platform building. The building was designed for the seismic modification factors of Rd=2.0 and Ro=1.5 for the soil Class C in Vancouver, BC, Canada. A 2D non-linear finite element model was developed in OpenSees. CLT panels were modelled as orthotropic elastic shell elements and the connections were modelled as non-linear springs that account for both uplift and shear deformation. The connections and wall parameters for hysteresis models were calibrated from test results. The seismic performance of the building was evaluated using the 22 bi-axial ground motions. The seismic demand was recorded in terms of inter-storey drift ratio. The results indicated that the case study CLT platform building has a sufficient factor of safety against collapse (Collapse Margin Ratio of 3.1) under a Maximum Credible Earthquake.</p>

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.485

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 head0.012
GPT teacher head0.282
Teacher spread0.270 · 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