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Record W2995408569

Evaluation of coupled hydro-mechanical (H-M) behaviour of in situ shaft sealing components for used nuclear fuel

2017· dissertation· en· W2995408569 on OpenAlexaboutno aff
Chang Seok Kim

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsIn situNuclear engineeringEngineeringMaterials scienceMechanical engineeringEnvironmental scienceChemistry
DOInot available

Abstract

fetched live from OpenAlex

A full-scale shaft seal that is a composite concrete-clay-concrete seal was installed at Canada’s Underground Research Laboratory (URL). This installation spans a major water-bearing fracture zone located at a depth of 275 m and is intended to isolate two hydrogeochemcial regimes. Coupled Hydro-Mechanical (H-M) constitutive models were developed to examine performance of the H-M behaviour of the shaft seal. H-M parameters of the shaft seal components were determined using laboratory test data. The numerical results were compared with field readings regarding water uptake and development of total pressure in the system. Numerical prediction shows that the hydration process of the clay seal is dominantly affected by the groundwater flow from FZ2. Overall, numerical prediction shows reasonably good agreement with field readings; however, it underestimates evolution of total stresses. The possible reason could be that radial groundwater flow toward the system was not considered in the simplified 2-D modelling. Prediction of swelling pressure of the unsaturated clay seal is discussed. The first model using crystalline and osmotic swelling mechanisms estimates a swelling pressure of 0.86 MPa, which is close to what is expected (0.8 MPa) in the field. Another model applying confined conditions estimates a swelling pressure of 0.41 MPa. This difference in swelling pressure prediction could be attributed to different microstructures developed under different confining conditions. The model predictions were then verified in terms of the water retention capacity of the clay seal and show reasonably good agreement with the measured data. Sensitivity analyses were conducted to assess effects of variations of H-M parameters on evolution of H-M behaviour of the clay seal. Several sets of hydraulic and Barcelona Basic Model (BBM) mechanical parameters of the clay seal were determined using available laboratory test data. The numerical results indicate that the behaviour of the clay seal is more sensitive to hydraulic parameters than BBM mechanical parameters. Different sets of H-M parameters were obtained from the same clay material. For this reason, sensitivity analysis of the parameters and validation of the predictions are required to improve the possibility to match field and modelled behaviour.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.255
Teacher spread0.216 · 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.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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