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Record W2173414178 · doi:10.1139/cgj-2015-0099

Drying-induced shrinkage of Boom clay: an experimental investigation

2015· article· en· W2173414178 on OpenAlexvenueno aff
Noémie Prime, Séverine Levasseur, Laurent Miny, Robert Charlier, Angélique Léonard, Frédéric Collin

Bibliographic record

VenueCanadian Geotechnical Journal · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsnot available
Fundersnot available
KeywordsShrinkageGeotechnical engineeringMaterials scienceSettlement (finance)AnisotropyConvectionGeologyComposite materialMineralogyMechanics

Abstract

fetched live from OpenAlex

Drying-induced shrinkage of geomaterials may have a strong effect on geostructure stability and deformation. The settlement of foundations and fracture openings in slopes, roads, and tunnel walls may be due to drying shrinkage. However, there is still a lack of knowledge concerning shrinkage evolution with time and shrinkage propagation within the material. In this study, the shrinkage of a specific clayey rock — Boom clay — under drying conditions is investigated experimentally. This rock is a deep geological formation, which is under study for high-level and long-term radioactive waste storage in Belgium. Two experimental campaigns are presented. The first, based on the vapour equilibrium drying technique and coupled with sample size manual measurement, aims to characterize the material shrinkage in balanced states. The second, based on the convective drying technique and coupled with shape monitoring using X-ray tomography, aims to analyse how shrinkage develops before reaching a steady state. Both approaches put in evidence the shrinkage anisotropy of this structurally bedded rock, with a ratio around 2 between the direction of maximum strains and the direction of minimum strains. However, the two drying techniques also provide complementary results as the relation between the amount of shrinkage and the retention curve (for uniform drying imposed with saline solutions) and the kinetics of shrinkage propagation inside the material (for nonuniform drying imposed with air convection).

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.027
GPT teacher head0.246
Teacher spread0.219 · 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 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

Citations16
Published2015
Admission routes1
Has abstractyes

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