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Record W2024409271 · doi:10.1002/zamm.200800025

Calculations for central stress minimum under sand piles using continuum analysis

2009· article· en· W2024409271 on OpenAlexafffund
Haemin Jeong, Ian D. Moore

Bibliographic record

VenueZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik · 2009
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Newcastle Australia
KeywordsConical surfaceContinuum mechanicsMechanicsGeotechnical engineeringPileFinite element methodStress (linguistics)Granular materialShear (geology)GeologyStructural engineeringMaterials scienceGeometryEngineeringPhysicsMathematicsComposite material

Abstract

fetched live from OpenAlex

Abstract The use of conventional continuum mechanics can provide solutions to a variety of problems involving the physics of granular solids. However, analysts have resorted to artificial constraints to obtain the counter‐intuitive experimental results where vertical stresses across the rigid base under a conical sand pile reach a local minimum, not a global maximum, beneath the apex. An explanation is provided here of how to use the finite element method, a numerical procedure based on conventional continuum mechanics, to calculate the dip in vertical stress beneath the apex of the stockpiled mass. Results from the numerical simulations reveal that the dip in vertical stress across the rigid base under the stockpile results from stress redistribution within the mass as it is slowly constructed with successive accumulation of many thin layers, shear failure of most but not all of the constituent material, and elastic deformation parameters for the stockpiled material that correspond to constant volume conditions.

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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.266
Teacher spread0.247 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und MechanikSame topicRock Mechanics and ModelingFrench-language works237,207