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Record W3124931543 · doi:10.5380/rf.v51i1.67392

EUCALYPTUS SPP. GLUED LAMINATED TIMBER WITH REINFORCED FIBER FINGER-JOINTS

2020· article· en· W3124931543 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFLORESTA · 2020
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversité Laval
FundersFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsReinforcementFlexural strengthComposite materialMaterials scienceUltimate tensile strengthBendingEucalyptusYoung's modulusStructural engineeringBotanyEngineering

Abstract

fetched live from OpenAlex

Reinforcement for flexion in structural elements with finger-joints using fibers has emerged as a particularly suitable technique for timber. Thus, the objective of this study was to evaluate the performance of Glued Laminated Timber (GLULAM) produced with Eucalyptus spp. wood and three reinforcement compositions, “Glass”, “Glass2” and “Carbon” regarding parallel-to-grain tensile strength, normal tensile strength, shear strength and the three-point bending test. All the tests were performed according to the NBR 7190/1997 using the Tukey test for statistical analyzes and a 95% confidence interval. The performance of the Eucalyptus spp. GLULAM did not present significant differences in evaluation of the bonding lines. However, the “Glass 2” and “Carbon” treatments were significantly superior to the GLULAM samples without reinforcement in bending strength, reaching increments of 37.8% and 40.5%, respectively. The modulus of elasticity did not differ significantly between them. A tensile rupture was observed in the region of the finger-joints in all the evaluated samples; however, the flexural tensions were superior to the parallel-to-grain tensile strengths, indicating an influence of the timber thickness and reinforcement thickness on the performance of the reinforced joints. Thus, it is possible to conclude that applying concentrated reinforcement in the region of the finger-joints significantly improves the performance of Eucalyptus spp. GLULAM samples.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score1.000

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)0.0010.002

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 head0.172
Teacher spread0.159 · 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