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Record W2933480251 · doi:10.2749/vancouver.2017.2301

Bending, vibration and long-term performance of timber-concrete-composites floors

2017· article· en· W2933480251 on OpenAlexaff
Adam Gerber, Thomas Tannert

Bibliographic record

VenueReport · 2017
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversity of Northern British ColumbiaUniversity of British Columbia
Fundersnot available
KeywordsServiceability (structure)StiffnessStructural engineeringVibrationBending stiffnessCross laminated timberBendingMaterials scienceShear (geology)Composite materialEngineering

Abstract

fetched live from OpenAlex

<p>There is much potential for engineered wood products (EWP) to be used beyond low-rise residential construction when incorporating the notion of hybrid systems like timber-concrete- composites (TCC). The research presented in this paper experimentally determined the bending, vibration and long-term performance for a range of TCC systems in several EWPs. Strength and stiffness properties were validated on small-scale shear tests. Subsequently, full-size floor panels were tested for elastic stiffness and dynamic properties under quasi-static loading. Furthermore, floor panels are subjected to serviceability loads since summer 2015 with the environmental conditions and the deflections being monitored. This research provides insight to engineers into safely designing TCC floor systems for bending, vibration and long-term performance.</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.

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 score0.277
Threshold uncertainty score0.225

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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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