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Record W2207356258

Process Zone Length and Fracture Energy of Spruce Wood in Mode-I from Size Effect

2010· article· en· W2207356258 on OpenAlexaboutno aff
Simon Aicher

Bibliographic record

VenueWood and Fiber Science (Society of Wood Science and Technology) · 2010
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsFracture (geology)Materials scienceComposite materialPerpendicularFracture mechanicsTension (geology)Scanning electron microscopeRange (aeronautics)GeometryUltimate tensile strengthMathematics
DOInot available

Abstract

fetched live from OpenAlex

This article reports on the determination of fracture energy and fracture process zone length in Mode I fracture of European spruce wood loaded in tension perpendicular to the fiber direction based on Bazant's size effect law. Within the size effect model, fracture energy and fracture process zone length are correlated and represent unambiguous limit values for large structures or specimens. The model parameters were derived from an earlier experimental size effect study on specific single-edge notched beam specimens with a scale range of 1:32. The Mode I fracture energy range of 250-290 N/m, derived from the size effect law, is in agreement with fracture energies obtained for the same specimens based on external work to complete specimen failure. The elastically equivalent length of the fully developed fracture process zone ahead of the nominal crack tip was determined to be in the range of about 2 mm. The stated independent proof of the correlated fracture energy confirms the validity of the derived size of the fracture process zone. Furthermore, fracture process zone size obtained is in close agreement with a previous result for eastern Canadian spruce, a finding based on scanning electron microscopy.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.003
GPT teacher head0.200
Teacher spread0.197 · 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

Citations16
Published2010
Admission routes1
Has abstractyes

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