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Record W2947990554 · doi:10.1139/cjce-2018-0642

Effect of nonstructural components on the dynamic characteristics of light-frame wood buildings

2019· article· en· W2947990554 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsMcGill UniversityUniversity of Ottawa
Fundersnot available
KeywordsStructural engineeringStiffeningModalShear wallStiffnessStructural loadModal analysisVibrationComposite numberTuned mass damperEngineeringMaterials scienceComposite materialDamperFinite element method

Abstract

fetched live from OpenAlex

This research deals with ambient vibration measurements (AVM) in 16 multi-storey light-frame wood buildings with wood-based shear walls as the main lateral load resisting system. Its primary objective is to evaluate the effect of nonstructural sheathing panels and the connectivity between firewall-separated buildings, on the modal properties of the tested buildings. Lower natural frequencies, corresponding mode shapes and equivalent structural damping were extracted from the AVM records. The study confirmed that the increase in stiffness of the finished buildings was dominant over their increase in mass when sway mode periods of finished buildings and bare structural frameworks are compared. The stiffening effect of gypsum wallboard was deemed significant and should be accounted for in seismic design. The study also indicates that even when the building section were only nominally connected to the firewall, composite action in the lateral response was taking place.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.591

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 head0.003
GPT teacher head0.169
Teacher spread0.167 · 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