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Record W110119429

Load-carrying Capacity Enhancement of Skirted Foundation Element By Electrokinetics

2002· article· en· W110119429 on OpenAlexaff
S. Micic, Julie Q. Shang, K. Y. Lo

Bibliographic record

VenueInternational Journal of Offshore and Polar Engineering · 2002
Typearticle
Languageen
FieldEngineering
TopicElectrokinetic Soil Remediation Techniques
Canadian institutionsWestern University
Fundersnot available
KeywordsGeotechnical engineeringFoundation (evidence)Electrokinetic phenomenaPolarity reversalEngineeringBearing capacitySedimentSoil waterVoltageGeologyMaterials scienceElectrical engineeringSoil science
DOInot available

Abstract

fetched live from OpenAlex

The objective of this study is to enhance the load-carrying capacity of skirted foundations embedded in marine deposits by electrokinetics (EK). The focus of improvement is at the interface between the soil and foundation. A series of laboratory tests was performed in an EK-cell to determine the optimal configuration of the electrical field surrounding a skirted foundation. Two soils were tested: Yulchon clay (a natural marine sediment) and Welland sediment (a river sediment mixed with artificially prepared seawater). In each test, a steel plate was embedded in the soil to represent an element of a skirted foundation. Electrodes were installed in the vicinity of the steel plate and a voltage, either constant or intermittent, was applied over a period of time. The load-carrying capacity of the steel plates and the undrained shear strength of the adjacent soil were measured after electrokinetic treatment. The effect of the electrode layout and voltage application was evaluated through a comprehensive experimental program. It is shown that, by optimizing the electrode arrangement and implementing the polarity reversal, the load-carrying capacity of the steel plates increased up to 4 times, and that soil shear strength increased up to 3 times after sustained application of a DC voltage of 5.2 V for 14 days. The results obtained in this study lead to a large-scale laboratory study and will have the potential to be applied in offshore engineering practice.

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 score0.273
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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

Citations9
Published2002
Admission routes1
Has abstractyes

Explore more

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