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Record W1497541431 · doi:10.1002/9781118623565.ch38

Influence of Excavation of Disposal Tunnel on the Near‐Field Coupled Thermal, Hydraulic and Mechanical Phenomena

2013· other· en· W1497541431 on OpenAlexaboutno aff
M. Chijimatsu, Yasuhiro Tsukada, Akira Kobayashi, T. Fujita

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicTunneling and Rock Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsBentoniteExcavationGeotechnical engineeringShieldRock mass classificationGeologyRadioactive wasteMining engineeringEngineeringWaste managementPetrology

Abstract

fetched live from OpenAlex

In the international DECOVALEX -THMC project, the influence of coupled thermal, hydraulic and mechanical (THM) phenomena on the safety of the near-field of a typical hypothetical geological repository is studied. The hypothetical geological repository would be located in the Canadian Shield, with horizontal drift geometry, and the copper container for the Candu fuel emplaced in the drift would be surrounded by MX-80 bentonite. Properties of bentonite are calibrated against results from laboratory experiments by SKB and the CEA mock-up test. Furthermore, damage model of rock mass is used for the express the effect of excavation. By using the calibrated bentonite model and the damage model, the influence of excavation tunnel is studied. As a result, it is known that the effect of property change of rock mass due to excavation is very low compared with the property of bentonite itself.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

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 integrity0.0000.000
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 head0.007
GPT teacher head0.188
Teacher spread0.182 · 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 designSimulation or modeling
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
Published2013
Admission routes1
Has abstractyes

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