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Record W4411393318 · doi:10.1002/dug2.70036

Generalized Matsuoka–Nakai criterion considering hydrostatic pressure dependence in the brittle–ductile region

2025· article· en· W4411393318 on OpenAlexaff
Jiacun Liu, Junjie Xiao, Dongping Liu, Ying Xu

Bibliographic record

VenueDeep Underground Science and Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsUniversity of Toronto
FundersNational Natural Science Foundation of China
KeywordsBrittlenessHydrostatic pressureHydrostatic equilibriumMaterials scienceMathematicsGeologyMechanicsPhysicsComposite material

Abstract

fetched live from OpenAlex

Abstract A generalized Matsuoka–Nakai criterion is proposed in this study, taking the form of a polynomial function, incorporating two parameters to characterize the evolution of the failure envelope within the deviatoric plane. These two parameters exhibit an inverse correlation with both the aspect ratio and curvature. Besides, the first parameter primarily affects the curvature around the triaxial compression state, while the second parameter predominantly influences the curvature around the triaxial extension state. Three sets of strength data under true triaxial stress states were selected to evaluate the generalized strength criterion. These sets include three types: hydrostatic pressure independent within the brittle region (HPI‐B), hydrostatic pressure dependent within the brittle region (HPD‐B), and hydrostatic pressure dependent within the brittle–ductile region (HPD‐BD). In the case of HPI, the failure envelope within the deviatoric plane remains constant and is accurately described by two fixed deviatoric parameters. In contrast, for the HPD type, the shape of the failure envelope varies with hydrostatic pressure, and this variation is precisely captured using two deviatoric parameters. The experimental data are distributed around the edges of the three‐dimensional failure envelope. Additionally, a comparison with existing criteria further validates the accuracy of the proposed criterion.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.223
Teacher spread0.210 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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