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Record W1506510625

Micromechanics of failure in granular geomaterials

2009· preprint· en· W1506510625 on OpenAlexaff
François Nicot, Richard Wan

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2009
Typepreprint
Languageen
FieldEngineering
TopicTunneling and Rock Mechanics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMicromechanicsGranular materialMaterials scienceGeotechnical engineeringGeologyComposite material
DOInot available

Abstract

fetched live from OpenAlex

This book is a treatise that brings together some of the latest international research and advances in the failure of granular geomaterials within a micromechanical approach. It provides a view of the current scientific community on this topic, putting forward relevant methods and efficient tools for analysis. The chapters will include either phenomenological contributions enriched with micromechanical ingredients, or purely micromechanical investigations. Various failure modes that are encountered in geomaterials and their implications in engineering applications will be discussed throughout the chapters. The case of porous frictional materials with or without a fluid phase will be considered together with the basic roles of the sliding and opening of contacts as a failure mechanism. The influence of grain crushing as a plausible mechanism under a variety of stress conditions and grain topologies will be also addressed. Finally, fracture in continuous materials containing grain inclusions will be dealt within the context of the damage theory.

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)0.000
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.192
Teacher spread0.184 · 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

Citations9
Published2009
Admission routes1
Has abstractyes

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