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Record W2077656331 · doi:10.1139/l02-036

Experimental parametric study on the in-plane stiffness of wood diaphragms

2002· article· en· W2077656331 on OpenAlexvenueno aff
André Filiatrault, David Fischer, Bryan Folz, Chia‐Ming Uang

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2002
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
FundersFederal Emergency Management Agency
KeywordsStructural engineeringFlexural rigidityStiffnessDiaphragm (acoustics)Materials scienceComposite materialPerpendicularChord (peer-to-peer)EmbedmentEngineeringGeometryMathematicsComputer science

Abstract

fetched live from OpenAlex

This paper presents the results of in situ quasi-static tests on a full-scale wood floor diaphragm in a two-storey woodframe house. The main objective of the study was to investigate the in-plane flexibility/rigidity of the diaphragm. Fourteen different diaphragm and structural configurations were investigated. The main parameters considered in the study included the nail schedule, panel-edge blocking, sub-floor adhesive, perpendicular walls above and below the diaphragm, and wall finish materials. The results indicated that panel-edge blocking increased significantly the diaphragm shear stiffness, particularly for diaphragms without sub-floor adhesive. Also, the presence of perpendicular walls acting as additional chord members caused a significant increase in the flexural stiffness of the diaphragm. The design procedure included in the Uniform Building Code (UBC) to compute in-plane diaphragm deformations was assessed by comparing its predictions with the experimental results. The UBC predictions agreed well with the experimental results for some configurations, but the correlation was poor for others.Key words: diaphragms, floor, tests, wood, wooden structures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.197
Teacher spread0.182 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations18
Published2002
Admission routes1
Has abstractyes

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