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Record W1542339167 · doi:10.3130/aijs.77.389

STUDY ON THE MOMENT RESISTING TIMBER FRAME JOINTED SYSTEM USING LARGE DIAMETER BOLTS UNDER THE COMBINED STRESS

2012· article· en· W1542339167 on OpenAlexaff
Hiroyuki NOGUCHI, Hideyuki NASU, Seiji IWASAKI, Mizuho YANAGISAWA, Mikio KOBAYASHI, Hideyuki HAGIUDA

Bibliographic record

VenueJournal of Structural and Construction Engineering (Transactions of AIJ) · 2012
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsUltimate tensile strengthStructural engineeringBending momentMaterials scienceComposite materialShear (geology)Thread (computing)BendingEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

This jointed system using specialized screws, called large diameter bolts, is one of the moment resisting joint systems. This system is characterized by cutting an internal thread directly to wood, by threading a large diameter bolt into the wood. In this study, the tensile behavior of these large diameter bolts embedded into the wood was evaluated through various tensile tests. Bending behavior of this jointed system was evaluated through two types of bending shear tests. FEM analysis had also done to know the distribution of shear stress of wood around the large diameter bolt. Then it was made clear that tensile strength was able to be estimated from the shear strength of the wood itself and the area around the large diameter bolt. Bending strength was also able to be estimated from tensile behavior.

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 score0.002
Threshold uncertainty score0.005

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 communication0.0000.001
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 head0.205
Teacher spread0.194 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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