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Experimental Study of Macro- and Microbehavior of Natural Diatomite

2006· article· en· W2095086076 on OpenAlexfundno aff
Zhen-Shun Hong, Yoshitaka Tateishi, Jie Han

Bibliographic record

VenueJournal of Geotechnical and Geoenvironmental Engineering · 2006
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsnot available
FundersSoutheast UniversityNational Natural Science Foundation of ChinaUniversité Laval
KeywordsOedometer testConsolidation (business)Overburden pressureCompressibilityGeotechnical engineeringMicrostructureMaterials scienceBreakageComposite materialGeologySoil waterSoil science

Abstract

fetched live from OpenAlex

Diatomite is widely deposited in Oita prefecture of Japan. It has high natural water content but its consolidation yield stress is much higher than the overburden pressure. Oedometer and triaxial consolidated undrained shear tests were performed in this study to investigate its macrobehavior in terms of compressibility and strength. The test results indicate that the compressibility and undrained shear strength of diatomite in the preyield state (i.e., the consolidation stress lower than the yield stress) are independent of the consolidation stress level. When the consolidation stress is higher than the yield stress, however, like virtually all soils, the compressibility of the diatomite increases dramatically. Similarly, the undrained shear strength of the diatomite depends on the confining stress when the confining stress is higher than the transitional stress. Both mercury intrusion porosimetry analysis and scanning electron microscopy were performed to investigate the change of the microstructure of the natural diatomite with the consolidation stress. The test results indicate that the microstructure of the diatomite remains unchanged in the preyield state, but it changes significantly in the vicinity of the yield stress. This unchanged microstructure is attributed to the unchanged macrobehavior within the preyield state. The breakage of diatoms particles and the compression of interparticle pores between the diatom particles in the postyield state contribute to the high compressibility of the diatomite.

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)0.000
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.002
GPT teacher head0.161
Teacher spread0.158 · 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

Citations88
Published2006
Admission routes1
Has abstractyes

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