MétaCan
Menu
Back to cohort
Record W4296579761 · doi:10.1139/cgj-2022-0278

Drained expansion responses of a cylindrical cavity under biaxial in situ stresses: numerical investigation with implementation of anisotropic S-CLAY1 model

2022· article· en· W4296579761 on OpenAlexvenueno aff
Hui Wang, Lin Li, Jingpei Li, De'an Sun

Bibliographic record

VenueCanadian Geotechnical Journal · 2022
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsFinite element methodAnisotropyMaterials scienceSubroutineStructural engineeringStress (linguistics)In situMechanicsThermal expansionGeotechnical engineeringGeologyEngineeringComputer scienceComposite materialPhysics

Abstract

fetched live from OpenAlex

Cavity expansion theory has been well developed in the past few decades, but little progress has been made to cavity expansion theory regarding biaxial in situ stresses. Owing to the two-dimensional nature of cavity expansion under anisotropic in situ stresses, a rigorous analytical or semi-analytical solution is no longer available for such cavity expansion problems. In this paper, a numerical study is performed to investigate the drained expansion responses of a cylindrical cavity under biaxial in situ stresses. The advanced anisotropic S-CLAY1 model integrated by the fully implicit backward Euler algorithm is implemented as a user-defined materials (UMAT) subroutine in the finite element model (FEM) to represent the elastoplastic behaviors of the anisotropic soils during cavity expansion. The FEM is validated by comparing with a benchmark semi-analytical solution under the uniform in situ stress. The expansion responses under biaxial in situ stresses, including the distributions of stress components, the evolutions of expansion pressures, stress paths, and yield surfaces, are subsequently investigated on leverage of the FEM and compared with those from approximate solutions. The present FEM in conjunction with the UMAT subroutine provides a benchmark for the validation of approximate solutions and the outcomes give significant insights into practical geotechnical problems pertaining to cavity expansion under biaxial in situ stresses.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.662

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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 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

Citations26
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Geotechnical JournalSame topicGeotechnical Engineering and Underground StructuresFrench-language works237,207