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Behavior of Plank (Tongue and Groove) Wood Decking under Uniformly Distributed Loads

2013· article· en· W1984957127 on OpenAlexaffabout
K. Rocchi, Ghasan Doudak

Bibliographic record

VenueJournal of Performance of Constructed Facilities · 2013
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDeflection (physics)Structural engineeringPlankStiffnessSpan (engineering)EngineeringPhysics

Abstract

fetched live from OpenAlex

An experimental program was undertaken at the University of Ottawa’s structural laboratory to investigate the behavior of plank decking under uniformly distributed loads. Nondestructive and destructive tests were conducted on plank decking systems to investigate their stiffness and failure mode characteristics. The study showed that the established deflection coefficients used to check the deflection of plank decking under balanced uniformly distributed loads can be conservatively used to estimate the stiffness of the simple span, two-span continuous, and controlled random layup patterns. It was also found that a deflection coefficient of 0.60 would be suitable for the combination simple and two-span continuous layup. Under unbalanced loading on two-span continuous layups, it was found that the deflection coefficient of 0.42 was nonconservative and that a more appropriate value to use in this case would be 0.60. The failure mode of a controlled random layup decking system under a uniformly distributed load was found to be consistent with the failure observed for simple span. The assumption of basing the capacity of the controlled random layup on the capacity of simple span layup seems appropriate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.502

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 communication0.0000.001
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 head0.008
GPT teacher head0.177
Teacher spread0.169 · 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.

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

Citations2
Published2013
Admission routes2
Has abstractyes

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