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Record W3144883860 · doi:10.3233/978-1-61499-656-9-693

CPTU correlations for clays

2005· book-chapter· en· W3144883860 on OpenAlexaboutno aff
Kjell Karlsrud, Tom Lunne, Kort D.A., Stein Strandvik

Bibliographic record

VenueIOS Press eBooks · 2005
Typebook-chapter
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

New correlations between various CPTU factors, undrained shear strength and overconsolidation ratio have been developed for soft to medium stiff clays. The correlations are based on comparing the CPTU results against undrained traxial compression strength and preconsolidation pressure determined on block samples of very high quality taken with the Sherbrooke 250 mm block sampler. The data base covers samples from 17 different sites ranging from soft to medium stiff clays with plasticity index from 10 to 50 % and sensitivity from 3 to about 200. The data clearly show that the measured excess pore pressure gives the best and most consistent correlation to the measured undrained strength. The cone resistance shows fairly large scatter, which may partly be an equipment/measurement problem and partly reflect that the cone resistance is a more complex parameter than the pore pressure response and which depends on more subtle clay characteristics. The cone factors also depend on the clay sensitivity and the plasticity index of the clays tested and the type of cone 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.005

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 head0.067
GPT teacher head0.294
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations45
Published2005
Admission routes1
Has abstractyes

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