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Record W2009152840 · doi:10.2488/jwrs.52.153

Effect of Changes in the Moisture Content due to Surrounding Relative Humidity on the Contact Stress in Traditional Mortise and Tenon Joints II.†

2006· article· en· W2009152840 on OpenAlexaff
Kiho Jung, Kohei Komatsu

Bibliographic record

VenueMokuzai Gakkaishi · 2006
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsMortise and tenonRelative humidityWater contentStress (linguistics)Moisture stressHumidityHorticultureMaterials scienceMoistureComposite materialStructural engineeringEngineeringGeographyGeotechnical engineeringMeteorologyBiology

Abstract

fetched live from OpenAlex

第1報1)に引き続き,ホゾ-込み栓接合部における接触応力を測定することによって,周期的な相対湿度(RH:Relative Humidity)変化が接合部間の接触応力に及ぼす影響について検討した。さらに,増し打ちによる接触応力の上昇効果を調べると共に,スギ圧縮木材を用いた込み栓が接合部の接触応力の緩和防止に及ぼす影響について評価した。その結果,スギ圧縮込み栓を挿入した接合部の接触応力は,RH40%からRH80%への変化によってシラカシのそれより高い40Nを示し,RH85%で56Nまで到達した。かつRH40%における接触応力は,シラカシの接合部では初期の14Nが第2周期に13Nへ減少した反面,圧縮木材の場合は初期20Nであった値が第2周期目には27Nへ上昇した。このような結果から圧縮木材の込み栓は,周期的な相対湿度変化により接合部の接触応力緩和の防止効果があることが明らかになった。一方,シラカシとスギ圧縮木材の拘束状態において,相対湿度を周期的に繰り返し変化させると(RH40%-80%),シラカシは第3周期目から最大膨潤力(σmax)が3.3MPaまで低下したが,圧縮木材は第4周期目まで低下することもなく同じ傾向を示し,4.6MPaまで到達した。これによって圧縮木材がシラカシより応力緩和防止の効果を持つことが明らかになった。

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 score0.005
Threshold uncertainty score0.016

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)0.0050.000

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 head0.041
GPT teacher head0.217
Teacher spread0.176 · 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

Citations8
Published2006
Admission routes1
Has abstractyes

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