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Strain-Softening Response and Failure Prediction in Notched Oriented Strand Board

2019· article· en· W2935984397 on OpenAlexaff
Sardar Malek, Navid Zobeiry, Chunping Dai, Reza Vaziri

Bibliographic record

VenueJournal of Materials in Civil Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsUniversity of British ColumbiaFPInnovationsBC Research (Canada)
Fundersnot available
KeywordsSofteningMaterials scienceComposite materialOriented strand boardStructural engineeringFinite element methodStrain (injury)Tension (geology)Strain energy density functionYoung's modulusElastic modulusStrain energyUltimate tensile strength

Abstract

fetched live from OpenAlex

The strain-softening response and failure of oriented strand boards (OSBs) were investigated both experimentally and numerically. Standard tests were used to characterize the elastic (modulus of elasticity) as well as damage properties (damage height, damage initiation strain, and fracture energy) of OSBs in two principal (parallel and perpendicular) directions. Experimental data were then used in conjunction with a recently developed physically based damage model to simulate the nonlinear response of notched OSB samples under tension using the finite-element (FE) method. Acceptable agreement between the FE simulations and experimental data was found. The results suggest that a strain-softening approach is capable of accurately modeling the damage progression in notched OSB 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.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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 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

Citations12
Published2019
Admission routes1
Has abstractyes

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