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Record W4402905440 · doi:10.1139/cgj-2024-0014

Hydraulic conductivity of air-dried bentonite–sand blocks permeated with synthetic groundwater from radioactive waste repository

2024· article· en· W4402905440 on OpenAlexvenueno aff
Guangping Zhou, Yu Tan, Peng Yu, Huyuan Zhang, Poyu Zhang, Jiannan Chen, Ping Liu

Bibliographic record

VenueCanadian Geotechnical Journal · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesNatural Science Foundation of Gansu ProvinceNational Natural Science Foundation of China
KeywordsHydraulic conductivityRadioactive wasteBentoniteGroundwaterGeotechnical engineeringEnvironmental scienceWaste managementGeologyMining engineeringEnvironmental engineeringSoil scienceEngineeringSoil water

Abstract

fetched live from OpenAlex

Laboratory experiments were conducted to evaluate the impact of drying cracks on hydraulic conductivity of compacted bentonite–sand blocks used as engineered barriers for radioactive waste disposal. Blocks were air-dried in an indoor environment to simulate the worst scenario without protection from drying during the interim storage and installation of the block. Synthetic groundwaters around the promising repository area were used as permeant solutions to study the hydraulic conductivity of air-dried blocks. Air-dried block samples were scanned by computed tomography (CT) before and after permeation to visualize the healing of drying cracks. Results show that swelling of the blocks was suppressed by the chemical components in the synthetic groundwater, and hydraulic conductivity of the block increased slightly (<4×) when permeated with the synthetic groundwater than those permeated with deionized water. Hydraulic conductivity of the air-dried block with cracks was slightly higher (<3×) than the hydraulic conductivity of the fresh block without cracks, indicating the remained swelling of the block permeated with synthetic groundwaters is sufficient to heal drying cracks. The healing of drying cracks was also quantified by CT images. These findings can increase the tolerance of drying cracks during block storage and installation.

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 categoriesInsufficient payload (model declined to judge)
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 score0.173
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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