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Record W4380451023 · doi:10.52202/069179-0048

EXPERIMENTAL RESEARCH ON POINT-SUPPORTED CLT PANELS: PHASE 1: ROLLING SHEAR STRENGTH

2023· article· en· W4380451023 on OpenAlexafffundabout
Md Shahnewaz, Carla Dickof, Houman Ganjali, Christian Slotboom, Mandy Tam, Robert Jackson, Marjan Popovski, Thomas Tannert

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsFPInnovationsUniversity of Northern British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Northern British Columbia
KeywordsShear (geology)Materials scienceStructural engineeringComposite materialSlabShear strength (soil)Geotechnical engineeringGeologyEngineering

Abstract

fetched live from OpenAlex

Rolling shear strength is one of the key design parameters for point-supported cross-laminated timber (CLT) flat-slab system where the panels are directly supported by columns without any beams.The specified rolling shear strength of CLT in the current Canadian design standard could be conservative estimates considering the variability in wood species, stress grade, thickness of lamellas, layups and grain orientations.To address these gaps in knowledge for the North American market, a Post + Plank research project is being undertaken by Fast+Epp structural engineers in collaborations with the University of Northern British Columbia.In the first phase of the project, presented herein, CLT rolling shear strength under in-plane shear loading was evaluated.A total of 330 specimens (11 series with 30 replicate each, sized 100 mm (width) × 300 mm (length) were tested.The parameters varied were thickness: 3-ply of 89 mm and 105 mm, and 5-ply of 139 mm and 175mm with multiple species and fabricators, and both visual and machine stress graded CLT.The mode of failure was crack development along the growth ring.The results show that the mean rolling shear strength of various Canadian CLT species was between 0.94 MPa to 1.8 MPa.Although thin layers exhibited relatively higher rolling shear strength, these differences were found not to be statistically significant.

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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.155
GPT teacher head0.375
Teacher spread0.219 · 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

Citations1
Published2023
Admission routes3
Has abstractyes

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