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Record W3112891687 · doi:10.26076/558d-9abf

Effects of Flow Path Factors in the Permeability of Natural and Man-made Granular Soils Using the Kozeny-Carman Equation

2021· article· en· W3112891687 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - USU (Utah State University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMisinformation and Its Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHoaxThe InternetInternet privacyWorld Wide WebComputer scienceMedicine

Abstract

fetched live from OpenAlex

The research presented in this paper serves to observe how the flow path factors relate to the void ratio, the effective diameter of a soil particle, and the permeability of a given sample assuming the behavior is consistent across natural and artificial soils. The basis of the comparison is the derived Kozeny-Carman Equation for permeability with focus on the factors Cs and Cl where Cs represents the shape of the flow path and Cl represents the length of the flow path that a single water molecule must travel through a soil sample. Permeameter tests were conducted for six types of material including three natural sands and two man-made samples to compare data. Man-made or unnatural samples included stainless steel pins and ceramic spheres. Four other natural sands were tested at both 50% and 90% relative density to compare data. Natural sands included C33 sand, Quartz sand, Fine Ottawa sand and Coarse Ottawa sand. It was observed that while the permeability of the samples was impacted by the geometry of the flow paths, as shown in the flow path factors CsCl, as well as the void ratios, it appears that the effective diameter Ds has a larger impact on permeability.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.228

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.025
GPT teacher head0.250
Teacher spread0.224 · 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 designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueDigital Commons - USU (Utah State University)Same topicMisinformation and Its ImpactsFrench-language works237,207