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Record W2809364323 · doi:10.1061/9780784481684.032

Influence of Fluid Pressures on Shear Strength of Unsaturated-Saturated Bentonite-Sand Mixture

2018· article· en· W2809364323 on OpenAlexaboutno aff
Tomoyoshi Nishimura, Paul Habasimbi

Bibliographic record

VenuePanAm Unsaturated Soils 2017 · 2018
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
FundersNationale Genossenschaft für die Lagerung radioaktiver Abfälle
KeywordsBentoniteGeotechnical engineeringShear (geology)Direct shear testPore water pressureShear stressRadioactive wasteShear strength (soil)GeologyPetroleum engineeringMaterials scienceComposite materialWaste managementSoil scienceEngineeringSoil water

Abstract

fetched live from OpenAlex

Safety of great deep repository design has been considered for high level radioactive waste disposal system in several countries such as Belgium, Canada, China, France, Germany, Japan, Sweden, and Switzerland etc. The repository of the disposal is in most cases based on the aspect of multi-barrier system used the natural barrier formation (i.e., host rock) and engineered barrier formation consisting of compacted bentonite. This study focused on direct shear strength for compacted bentonite related to some factors induced by uncertainty problems. A modified direct shear apparatus was used for investigation of efforts above mentioned factors on shear strength. The constant net normal stress (i.e., vertical stress) direct shear test was conducted out with various shear speeds. Also, it was possible to predict that the excess fluid pressures (i.e., gas pressure and pore-water pressure) were accumulated or were maintained in bentonite samples.

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 categoriesMeta-epidemiology (narrow)
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 score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.230
Teacher spread0.220 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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