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Record W2185810467

Electrokinetic Strengthening of Marine Clay Adjacent to Offshore Foundations

2001· article· en· W2185810467 on OpenAlexaff
S. Micic, Julie Q. Shang, K. Y. Lo

Bibliographic record

VenueInternational Journal of Offshore and Polar Engineering · 2001
Typearticle
Languageen
FieldEngineering
TopicElectrokinetic Soil Remediation Techniques
Canadian institutionsWestern University
Fundersnot available
KeywordsElectrokinetic phenomenaGeotechnical engineeringSubmarine pipelineShear strength (soil)Soil waterShear (geology)GeologyMaterials scienceEngineeringComposite materialSoil scienceNanotechnology
DOInot available

Abstract

fetched live from OpenAlex

Skirted foundations have been used increasingly to provide uplift resistance and to carry structural loads in offshore structures. When soft clay soils are encountered in a site, the soil shear strength is one of the major concerns in the design of skirted foundations with respect to the bearing capacity. Originated from the problem facing offshore engineering practice, this study is focused on electrokinetic strengthening of soft marine clays adjacent to skirted foundations. A series of laboratory electrokinetic experiments was conducted in a natural marine clay. A steel plate was embedded in the soil during the electrokinetic treatment to simulate part of a skirted foundation. The design, execution and results of the electrokinetic tests are reported. The results show that the undrained shear strength of the soil around the embedded steel plate was increased considerably after the electrokinetic treatment. It is also evidenced that the soil shear strength was further increased with time after the electric field was withdrawn, attributable to electrokinetics induced soil particle cementation during post-treatment ionic diffusion. In order to obtain uniform strength increase between the electrodes, to reduce energy consumption and to prolong the service life of electrodes, the effects of polarity reversal and current intermittence under a constant applied voltage were also investigated.

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)0.000
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 score0.252
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.007
GPT teacher head0.236
Teacher spread0.230 · 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

Citations24
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Offshore and Polar EngineeringSame topicElectrokinetic Soil Remediation TechniquesFrench-language works237,207