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Record W2029840615 · doi:10.1139/t03-079

Liquefaction flow of submarine slopes under partially undrained conditions: an effective stress approach

2004· article· en· W2029840615 on OpenAlexvenueaboutno aff
Ehsanollah Atigh, Peter Byrne

Bibliographic record

VenueCanadian Geotechnical Journal · 2004
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsGeotechnical engineeringPore water pressureGeologyLiquefactionEffective stressDrainageSoil liquefactionFlow (mathematics)SubmarineOverburden pressureShear stressSlope stability

Abstract

fetched live from OpenAlex

The stability of submarine slopes is commonly assessed based on undrained soil response. Liquefaction flow may occur when pore-pressure rise in soil elements under constant shear stress causes a reduction in effective stresses. Recent experimental studies have shown that a small net flow of water into an element results in additional pore-pressure generation and further reduces its strength. As a result, soil elements can liquefy due to expansive volumetric strains that cannot be predicted by undrained analysis. Submarine deposits of the Fraser River delta are known to contain high concentrations of methane gas. Tidal variations can cause unequal pore-pressure generation with depth and time in these soils. Such changes reduce the effective stresses during low tides and may induce liquefaction flow of slopes due to partial drainage conditions. An effective stress approach based on an elastic–plastic stress–strain relationship is presented to model liquefaction flow of sand. A fully coupled analysis is carried out to evaluate the behaviour of both saturated and gassy deposits of loose Fraser River sand and Ottawa sand. Triggering of liquefaction resulting in retrogressive flow slides is predicted for an unsaturated underwater slope similar to those observed near Sand Heads at the front of the Fraser delta.Key words: sand liquefaction, Fraser River delta, submarine slopes, flow slide, gassy sand, partial drainage.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.746
Threshold uncertainty score0.941

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 integrity0.0000.001
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 head0.203
Teacher spread0.195 · 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 designSimulation or modeling
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

Citations38
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Geotechnical JournalSame topicGeotechnical Engineering and Soil MechanicsFrench-language works237,207