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Record W2287220022 · doi:10.13031/trans.58.10900

Feasibility of Using PFC3D to Simulate Soil Flow Resulting from a Simple Soil-Engaging Tool

2015· article· en· W2287220022 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.
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

VenueTransactions of the ASABE · 2015
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDiscrete element methodElasticity (physics)Elastic modulusFlow (mathematics)Soil waterGeotechnical engineeringModulusYoung's modulusParticle (ecology)Soil scienceMechanicsMathematicsBiological systemMaterials scienceEngineeringEnvironmental scienceGeologyPhysicsGeometryComposite material

Abstract

fetched live from OpenAlex

<abstract> <b><sc>Abstract.</sc></b> PFC<sup>3D</sup> is a discrete element modeling tool that has been used for simulations of soil-tool interaction in agriculture. However, existing studies have mainly focused on simulations of soil cutting forces, not soil flow. In this study, a soil-tool model was developed using the parallel bond model (PBM) of PFC<sup>3D</sup> to determine if the model could be used to simulate the soil flow characteristics resulting from a simple soil-engaging tool while satisfying the draft force prediction accuracy. In the simulations, soil was modeled as spherical particles with bonds between particles. The model outputs examined were the two most important soil dynamic properties: thrown-soil and draft force. By examining the effects of model microproperties on the simulated thrown-soil and draft force, we found that the feasible ranges of the model microproperties were: 1e4 to 5e6 Pa for the modulus of elasticity of particle, 1e5 to 1e8 Pa for the modulus of elasticity of bond, 1e4 to 1e5 Pa for bond strength, 0.3 to 0.7 for local damping coefficient, and 0 to 1.0 for viscous damping coefficient. For simulation of soil-tool interactions, the model microproperties should be selected within these feasible ranges. Otherwise, the behavior of the model particles would not reflect the behavior of real soil. Within these feasible ranges, the model outputs were influenced the most by the modulus of particle elasticity; the other model microproperties had little impact on the model outputs. Soil cutting tests were conducted in a sandy loam soil to evaluate the soil-tool model. The results showed that a modulus of particle elasticity of 2.5e5 Pa resulted in a good match between the simulated and measured draft forces. However, with this modulus, the simulated thrown-soil was significantly lower than the measured value. Further investigations showed that it may not be possible to match the simulated and measured thrown-soil using the PBM of PFC<sup>3D</sup>. Therefore, redefining the constitutive laws of particle contacts would be required to improve the accuracy of the model for simulations of soil flow behavior.

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 score0.172
Threshold uncertainty score0.494

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 head0.054
GPT teacher head0.273
Teacher spread0.219 · 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