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Record W2122436770 · doi:10.1139/cgj-2013-0140

Pullout behaviour of plate anchor in clay with linearly increasing strength

2013· article· en· W2122436770 on OpenAlexvenueno aff
K.K. Tho, Zongrui Chen, C. F. Leung, Yean Khow Chow

Bibliographic record

VenueCanadian Geotechnical Journal · 2013
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
FundersMaritime and Port Authority of Singapore
KeywordsSquare (algebra)Geotechnical engineeringShear strength (soil)UnavailabilityFinite element methodRange (aeronautics)Submarine pipelineDeformation (meteorology)Structural engineeringMathematicsGeologyEngineeringGeometryMaterials scienceSoil waterStatisticsComposite material

Abstract

fetched live from OpenAlex

Plate anchors are widely adopted to provide uplift resistance for structures. For most offshore seabeds, the undrained shear strength profile can be reasonably approximated as varying linearly with depth. At present, there are two possible approximate approaches to determine uplift capacity of a square plate anchor in such a profile, but the validity of both approaches cannot be ascertained due to unavailability of a rigorous solution. This study addresses these uncertainties by establishing the capacity factors for a square anchor in a linearly increasing strength profile using a three-dimensional large-deformation finite element approach for a wide range of geometric and material combinations. It was found that both approaches give the correct solution only under specific conditions. Earlier studies on the uplift capacity of a plate anchor typically follow a classical path of deriving the solution for a weightless soil and extending this solution to a soil with self-weight. The applicability of such an approach to the uplift of a square anchor is examined in this study. A direct design method for a square plate anchor embedded in a linearly increasing strength profile, which enables the capacity factors for a square anchor to be directly obtained without any simplified assumptions, is then proposed.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.005
GPT teacher head0.182
Teacher spread0.177 · 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

Citations84
Published2013
Admission routes1
Has abstractyes

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