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Record W2621218915 · doi:10.1061/9780784480724.050

Laterally Loaded Pile Behaviors in Clay with Uncertainty in Strain <i>ɛ</i> <sub>50</sub>

2017· article· en· W2621218915 on OpenAlexaff
Namhong Min, Jeong-Yun Won

Bibliographic record

VenueGeo-Risk 2017 · 2017
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsPileProbabilistic logicProbabilistic analysis of algorithmsGeotechnical engineeringMonte Carlo methodRandom variableStrain (injury)Shear (geology)Structural engineeringGeologyMaterials scienceMathematicsEngineeringStatisticsComposite material

Abstract

fetched live from OpenAlex

Uncertainty in soil strengths and lateral loads have been the main foci of the probabilistic analyses of laterally loaded piles in clay. Very little attention has been paid to the uncertainty in strain ɛ50, while it apparently governs the slope of p-y curves and affects the lateral behaviors of piles in clay. This study develops a probability model for strain ɛ50 based on a recently published database, and conducts a probabilistic analysis for a pile design case. The strain ɛ50 was taken as the single random variable that is independent of undrained shear strength. A spreadsheet was developed to perform extensive calculations from the Monte Carlo approach in the probabilistic lateral pile analyses. The probabilistic analysis results demonstrated that the variability in strain ɛ50 has substantial impacts on the lateral displacements and the pile stresses. The uncertainty in strain ɛ50 should be carefully considered in the laterally loaded pile analysis.

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 categoriesMeta-epidemiology (narrow)
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 score0.418
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.207
Teacher spread0.199 · 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
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
Published2017
Admission routes1
Has abstractyes

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