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Record W2726976428 · doi:10.1186/s40703-017-0049-8

Evolution of pile shaft capacity over time in marine soils

2017· article· en· W2726976428 on OpenAlexafffundabout
Mohammad Amin Hosseini, Mohammad T. Rayhani

Bibliographic record

VenueInternational Journal of Geo-Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPileGeotechnical engineeringPiezometerBearing capacityDynamic load testingGeologyEnvironmental scienceGroundwater

Abstract

fetched live from OpenAlex

Driven pile foundations may experience an increase in bearing capacity overtime after installation which is referred to as pile set-up or freeze. Field observations have demonstrated that pile set-up could be substantial and the evolution of pile shaft capacity may continue for an extended time after pile installation. This paper presents results of a series of pile load tests conducted on medium-scale steel and concrete pile foundations driven into marine sensitive clay in Gloucester, Ontario. The piles were tested instantly after driving to measure their initial bearing capacities, and were tested repeatedly over different elapsed times to study the evolution of pile shaft capacity over time. The excess pore water pressure around the pile was also monitored by a piezometer. The pile performance analysis was established by monitoring the shaft capacity of driven model piles over 1 month in soft marine clay. The average pile capacity measurements for both steel and concrete piles showed approximately 4.5–5.5 times increase in the pile capacity 30 days after initial driving depending on the type of the piles used.

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: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.655

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 science0.0010.000
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 head0.006
GPT teacher head0.205
Teacher spread0.199 · 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

Citations21
Published2017
Admission routes3
Has abstractyes

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