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Record W1824412220 · doi:10.1139/t11-037

Numerical simulation of an instrumented cantilever retaining wall

2011· article· en· W1824412220 on OpenAlexvenueno aff
Ashok K. Chugh, Joseph F. Labuz

Bibliographic record

VenueCanadian Geotechnical Journal · 2011
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
FundersMinnesota Department of Transportation
KeywordsCantileverLateral earth pressureRetaining wallDeflection (physics)Geotechnical engineeringDeflexionStructural engineeringFoundation (evidence)EngineeringGeologyMechanicsClassical mechanicsPhysicsFinite element method

Abstract

fetched live from OpenAlex

The field data of an instrumented cantilever retaining wall are reexamined to develop a working hypothesis for the mechanism that explains the observed response. The field data are in terms of earth pressures and wall movements (deflection, translation, and rotation) from the start to completion of backfilling. The observed response demonstrates strong interaction between the retaining wall and foundation soil. Traditional calculations based on earth pressure coefficients had not provided a satisfactory explanation for the measured responses during placement of backfill. In this paper, the working hypothesis, and results from its implementation in a continuum-mechanics-based computer program are presented. The numerical model results, displacements and earth pressures, are in general agreement with the field data for all stages of backfill placement and provide a clear exposition to the observed response. Practical implications of the work are included.

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 score0.235
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.204
Teacher spread0.185 · 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

Citations18
Published2011
Admission routes1
Has abstractyes

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