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Record W2114366661 · doi:10.1680/geng.2008.161.3.129

Constant rate of displacement test on ultra-soft soil

2008· article· en· W2114366661 on OpenAlexaff
Myint Win Bo, Albert Kai-Sun Wong, V. Choa

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Geotechnical Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsCanadian Council of Professional Engineers
Fundersnot available
KeywordsConsolidation (business)Geotechnical engineeringStrain rateLateral strainCompression testMaterials scienceCompression (physics)GeologyComposite material

Abstract

fetched live from OpenAlex

The step-loading consolidation test with hydraulic Rowe cell on ultra-soft soil takes several weeks to obtain a complete e–log σ′ v , curve. An alternative method is to conduct the test at a constant rate of strain. This test can be carried out with the hydraulic Rowe cell by pumping water into the diaphragm cell at a constant rate of volume. A series of tests were carried out at various strain rates. A method is proposed for the selection of a suitable strain rate based on the estimated compression index. The best strain rate for the soil used in this study is 0·01%/min. The various compression indices at the different log-cycles can be determined from the e–log σ′ v curve obtained from this test. The large-strain coefficient of consolidation and permeability at various times and stresses can also be obtained, because the settlement and pore pressure are measured during the test.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.176
Teacher spread0.169 · 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.

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

Citations12
Published2008
Admission routes1
Has abstractyes

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