MétaCan
Menu
Back to cohort
Record W4297236584 · doi:10.1002/nag.3443

Elliptical cylindrical equivalent model for consolidation of unsaturated soil improved by PVD

2022· article· en· W4297236584 on OpenAlexaff
Yi Tian, Guosheng Jiang, Wenbing Wu, Minjie Wen, M. Hesham El Naggar, Guoxiong Mei

Bibliographic record

VenueInternational Journal for Numerical and Analytical Methods in Geomechanics · 2022
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsWestern University
FundersSystematic Project of Guangxi Key Laboratory of Disaster Prevention and Structural SafetyChina Scholarship CouncilNational Natural Science Foundation of China
KeywordsConsolidation (business)Pore water pressureDissipationGeotechnical engineeringMaterials scienceParametric statisticsMechanicsComposite materialGeologyThermodynamicsMathematicsPhysics

Abstract

fetched live from OpenAlex

Abstract To consider the shape effect of prefabricated vertical drain (PVD), the elliptical cylindrical equivalent model (ECEM) is established for the consolidation of unsaturated soft foundations improved by PVD. Then, the associated analytical solutions of excess pore‐air and pore‐water pressures are derived under free strain and equal strain conditions, respectively. The rationality of proposed solutions is verified by comparing them with the existing solutions. Through conducting the parametric study, the effects of the permeability coefficients and the extent of influence zone on the dissipation of excess pore pressure and the consolidation settlement are investigated. Outcomes show that there is a plateau during the dissipation process of the excess pore‐water pressure. The consolidation behavior is dominated by the dissipation of the excess pore‐air pressure before the plateau, while it is governed only by the dissipation of the excess pore‐water pressure after the plateau.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.349
Teacher spread0.316 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal for Numerical and Analytical Methods in GeomechanicsSame topicSoil and Unsaturated FlowFrench-language works237,207