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Record W2051009425 · doi:10.2208/jscejc.62.311

3-D BEARING CAPACITY OF PILE FOUNDATION UNDER VERTICAL LOADING

2006· article· en· W2051009425 on OpenAlexaff
Jun Otani, Junichi HIRONAKA, Toshifumi Mukunoki, Takao Hirai

Bibliographic record

VenueDoboku Gakkai Ronbunshuu C · 2006
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsQueen's University
Fundersnot available
KeywordsPileBearing capacityFoundation (evidence)Geotechnical engineeringGeologyBearing (navigation)Structural engineeringEngineeringComputer scienceGeographyArchaeology

Abstract

fetched live from OpenAlex

杭の鉛直支持力算定における支持力メカニズムの提案は,Terzaghi,Meyerhof,およびVesicらによるものが広く知られている.しかしこれらメカニズムは,簡便的な支持力計算を目的としたものであり,実際の3次元下の鉛直支持力メカニズムを詳細に観察して提案されたものではない.本研究の目的は,X線CTスキャナを用いて,種々の先端形状を持つ杭の鉛直支持力特性を解明することである.ここでは,砂中の単杭を対象とした鉛直模型載荷実験を実施し,荷重下における杭先端地盤内状況を産業用X線CTスキャナを用いて評価することにより,杭基礎の鉛直支持力特性を解明することを試みた.結果として,初めて杭基礎の鉛直支持力メカニズムを非破壊かつ3次元的に評価した.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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