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Influence of Temperature and Deviatoric Stress on Creep Behavior of Rock Salt

2023· article· en· W4313908445 on OpenAlexaboutno aff
Amirsalar Moslehy, Khalid A. Alshibli

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2023
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsCreepMaterials scienceGeotechnical engineeringStress (linguistics)Overburden pressureComposite materialGeology

Abstract

fetched live from OpenAlex

Abstract Rock salt deposits are used as depositories for hazardous wastes and oil due to their excellent mechanical properties for depositories such as low permeability and self-healing. The creep behavior of rock salt plays a major role in the long-term stability of rock salt depositories. Temperature and deviatoric stress significantly impact the creep behavior of rock salt. This paper studies the influences of temperature and deviatoric stress on the creep behavior of natural single-crystal rock salt specimens using creep experiments. A special triaxial thermal cell was developed to conduct the experiments. Prismatic specimens were cut out of a large mass of a sample that was acquired from Windsor Salt Mine, Ontario, Canada. The prepared specimens were tested in one-dimensional creep experiments at 20, 100, and 150° C temperatures and under 1 MPa confining pressure. Constant deviatoric stresses ( σ d ) of 4, 10, and 12 MPa were applied to the specimens. Increasing the applied deviatoric stress and temperature caused an increase in the accumulated strain during the experiments and resulted in higher steady-state strain rates. Although the transient strain rate is increased at elevated temperatures, it appears to be insensitive to the applied deviatoric stress.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.358

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 studies0.0000.000
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 head0.009
GPT teacher head0.193
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 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

Citations6
Published2023
Admission routes1
Has abstractyes

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