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Record W2025551149 · doi:10.2495/eres130131

Influence of diaphragm flexibility on lateral load distribution between shear walls in light wood frame buildings

2013· article· en· W2025551149 on OpenAlex
Zhiyong Chen, Ying Hei Chui, C. Ni, Ghasan Doudak, M. Mohammad

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueWIT transactions on the built environment · 2013
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsUniversity of OttawaFPInnovationsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsShear wallStructural engineeringDiaphragm (acoustics)StiffnessShear (geology)Flexibility (engineering)Spring (device)Structural loadGeologyGeotechnical engineeringMaterials scienceEngineeringVibrationComposite materialAcousticsMathematicsPhysics

Abstract

fetched live from OpenAlex

In light wood frame buildings, diaphragm flexibility influences the load distribution between shear walls under lateral load induced by earthquake or wind action, which is important for structural design.A multiple spring model with the ability to represent the load-transferring behaviour of this complex lateral load resisting system of light wood frame buildings was developed.The developed model was validated with results from the more sophisticated model, spring deep-beam model.The lateral load distribution between shear walls with various stiffness ratios of diaphragm to shear wall was also investigated.Based on preliminary findings from this study, contrary to common belief, the forces transferred by a semi-rigid diaphragm to the supporting shear walls, may be higher than those predicted by flexible and rigid diaphragm assumptions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.807

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)0.0010.000

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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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