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Record W7115197184 · doi:10.5552/drvind.2025.0235

Determination of Bending Resistance and Modulus of Elasticity in CLT, Wood Materials and Wood Laminated Materials

2025· article· en· W7115197184 on OpenAlexaff

Bibliographic record

VenueDrvna industrija · 2025
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsGLUEYoung's modulusFlexural strengthSolid woodBendingElasticity (physics)Elastic modulusScots pine

Abstract

fetched live from OpenAlex

In this study, test samples were prepared from CLT, wooden materials and wooden laminated materials, and bending strength and elasticity modulus values were determined. All samples were prepared using Scots pine (Pinus sylvestris L.) timber as the wood species and PVAc glue as the adhesive. Four-point bending test was applied to the test samples in two different directions, vertical and parallel to the glue line. Flexural and elastic modulus values were examined. The highest bending strength and elasticity modulus values were found in wood laminated material and the lowest in solid wood material. The average values of bending strength and modulus of elasticity were found to be higher in the direction parallel to the glue line than in the direction vertical to the glue line. As a result of the study, it can be said that CLT and wooden laminated materials can be used as an alternative to solid materials, which are frequently used as building and frame construction furniture materials.

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)0.000
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.249
Teacher spread0.238 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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