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Record W2316810515 · doi:10.7451/cbe.2014.56.2.1

Simulation of Draft Forces of a Sweep in a Loamy Sand Soil Using the Discrete Element Method

2014· article· en· W2316810515 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Biosystems Engineering · 2014
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLoamDiscrete element methodStiffnessHullGeotechnical engineeringParticle (ecology)Soil scienceSoil waterGeologyEnvironmental scienceMechanicsEngineeringStructural engineeringPhysics

Abstract

fetched live from OpenAlex

Draft force is an important performance indicator of a soil-engaging tool as it affects the power requirement of the tool. In this study, draft forces of a sweep were measured in a loamy sand soil under different soil cutting depths and tool travel speeds. The measurements served the evaluation of a model developed using the Discrete Element Method (DEM) to simulate the soil cutting process of the sweep. In the model, soil particles were defined as spherical particles with bonds between particles to reflect the cohesive behaviour of agricultural soil. The model parameter, particle stiffness, was calibrated through comparing the simulated draft forces of the sweep with those predicted from the Universal Earthmoving Equation. The calibrated particle stiffness was 3x103 N/m for the loamy sand soil. The calibrated model was evaluated against measured draft forces. The simulated draft forces agreed well with the measured ones with a correlation coefficient of 0.8.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.993

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 head0.223
Teacher spread0.214 · 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