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Record W4246410254 · doi:10.32920/ryerson.14654652

Impact of slopes on the lateral resistance of steel piles

2021· preprint· en· W4246410254 on OpenAlexaff
James B. Cumming

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsToronto Metropolitan UniversityQueen's University
Fundersnot available
KeywordsGeotechnical engineeringPileStiffnessStructural engineeringFinite element methodCrestGeologyLeveeFoundation (evidence)LaggingParametric statisticsEngineeringPassive resistanceResistance (ecology)Mathematics

Abstract

fetched live from OpenAlex

A soldier pile and lagging wall is one of the most common types of retaining wall. Solider pile walls develop lateral resistance through the stiffness of the piles and the passive resistance of the soil acting upon the embedded portion of the piles. Ground anchors can also be used when additional lateral resistance is required. Using Broms’ methods, a parametric study was completed to investigate the performance of laterally loaded short and long steel piles installed in a variety of cohesive and cohesionless soils. The results were compared to those generated using RocScience finite element software. RocScience software was then used to evaluate the lateral resistance of piles installed at various distances from the crest of a 2:1 slope. Finally, two soldier pile walls, to be installed within a sloping railway embankment, were designed.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.225
Teacher spread0.213 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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