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Record W4392520679 · doi:10.1061/9780784485347.032

A Coupled Finite Element Method in Slope Stability Analysis

2024· article· en· W4392520679 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)Computer scienceStructural engineeringEngineering

Abstract

fetched live from OpenAlex

This paper presents a method for slope stability analysis by finite elements. In this method, a potential slip surface is implemented as interface elements coupled with the soil slope as solid elements. The fundamental theory for this method and the general slice method is discussed. Stress mobilization analysis to bring the potential slip surface to a limit state is carried out by a coupled procedure between the interface elements and the solid elements. In order to couple the slip surface as interface elements and the soil slope as solid elements, the principle of energy stationarity must be satisfied in whole procedure to bring the slip surface from initial static equilibrium state to the limit equilibrium state. The principle of virtual displacement was used for both the slip surface as interface elements and the soil slope as solid elements in this method. The factor of safety for a potential slip surface is defined and discussed when applying the principle of virtual displacement on the slip surface and the soil sliding mass above the slip surface. This paper also presents an analysis case and comparison with the general slice methods.

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: none
Teacher disagreement score0.963
Threshold uncertainty score0.737

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 head0.253
Teacher spread0.240 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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