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Record W4392520770 · doi:10.1061/9780784485347.024

3D Slope Stability Analysis by Finite Element Methods

2024· article· en· W4392520770 on OpenAlexaff
Edward Wei Hua Gu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsFinite element methodStability (learning theory)Finite element limit analysisComputer scienceMixed finite element methodStructural engineeringEngineering

Abstract

fetched live from OpenAlex

This paper presents a method for three-dimensional slope stability analysis based on finite element technologies. In this method, a potential slip surface is implemented as interface elements coupled with the soil slope as solid elements. Stress and strain mobilization analysis to bring the potential slip surface and the sliding soil mass above the slip surface from an initial static equilibrium state to a limit equilibrium state is carried out by a coupled procedure between the interface elements and the solid elements. The coupled procedure is used to study the stress redistribution in whole soil slope caused by material yielding along a potential slip surface. The interface elements can be created by intersection calculation between the solid finite element mesh and 3D slip surface grid shape models. This paper shows two typical 3D slip surface grid shape models that can be used to simulate most slope sliding patterns under three-dimensional conditions. A three-dimensional slope stability analysis case is also presented in this paper.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score1.000

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.271
Teacher spread0.258 · 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.

Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations1
Published2024
Admission routes1
Has abstractyes

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