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Record W4401481129 · doi:10.56952/arma-2024-1213

Numerical Prediction of Thermo-Mechanical Spalling Around a Deep Nuclear Waste Repository in Crystalline Rock

2024· article· en· W4401481129 on OpenAlexaff
A. Lisjak, O. K. Mahabadi, Johnson Ha, Diego Mas Ivars

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsSpallRadioactive wasteMaterials scienceGeotechnical engineeringNumerical modelsGeologyComposite materialNumerical modelingEngineeringWaste managementGeophysics

Abstract

fetched live from OpenAlex

ABSTRACT: The focus of this study is on stress-driven rock damage potentially developing around the tunnels and deposition boreholes of a planned underground nuclear waste repository at the Forsmark site in Sweden. This type of damage is commonly referred to as "spalling" or "brittle failure". In hard, crystalline rocks, such as those at the Forsmark site, spalling typically manifests itself in the form of extensional (Mode I) cracking parallel to the excavation boundaries followed by buckling of thin rock flakes. During the construction phase of the repository, mechanical spalling may be induced by overstressing (under unconfined conditions) of the excavation surface periphery. During the operational phase, thermal spalling may develop due to additional thermo-elastic stresses forming in response to the increasing rock mass temperature field induced by the heat-emitting spent nuclear fuel. Since rock failure may negatively affect the long-term isolation properties of the host rock within the multi-barrier disposal concept to be adopted at the Forsmark site, prediction of its occurrence, location, and extent is critical for an effective repository design and long-term safety. In this study, the response of underground structures was studied using Geomechanica's Irazu software, which is novel 3D coupled thermo-mechanical simulator based on the finite-discrete element method (FDEM). It is the first numerical study to date that explicitly captures both mechanical and thermal fracturing processes while using the latest repository design and site-specific geomechanical input data. A sensitivity study is performed to investigate different combinations of rock mechanical properties, in-situ stresses, and deposition tunnel geometry on the host rock behaviour. Rock mass deconfinement is shown to promote the development of tensile damage in the tunnel sidewalls and floor with fracture surfaces growing parallel to the excavation boundaries. The negative effects deriving from the adoption of a relatively narrower tunnel cross-section and from an increase of horizontal in-situ stresses are highlighted. Thermo-mechanical analyses capture the rock mass behaviour following an increase of borehole surface temperature to 100°C. Numerical results indicate that the temperature evolution is affected by the shape of the underground cavities and their distance from the heated boreholes. The coupled thermal expansion of the rock induces additional stresses which, in turn, promotes further damage. Despite this increase, however, the total amount of induced rock damage at final conditions remains relatively low.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

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 studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0020.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.195
Teacher spread0.185 · 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
Published2024
Admission routes1
Has abstractyes

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