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Record W4400234971 · doi:10.11159/iccste24.128

Effect of Cap Stiffness and Soil Dilatancy in Pile Groups Subjected To Lateral Loads

2024· article· en· W4400234971 on OpenAlexvenueno aff
Javier Perez Espinoza, Jorge Luis Palomino Tamayo, Karena Quiroz Jiménez

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsPileStiffnessDilatantGeotechnical engineeringPile capStructural engineeringGeologyEngineering

Abstract

fetched live from OpenAlex

This paper explores the effect of cap stiffness and soil dilation on the structural response of pile groups subjected to lateral increasing monotonic loads.For such scope, a finite element-based model for studying pile configurations of 3x3 to 3x7 in homogeneous sand deposits is proposed.The model employs solid elements with twenty nodes to represent the soil and pile domains, while zero-thickness interface elements are used to model the contact state at the soil-pile interface.The adequacy of the model is firstly validated with experimental data from literature and then the associated parametric studies involving the two aforementioned aspects are performed.For the studied examples, the obtained results indicate that the reduction of the cap stiffness substantially increases the lateral displacement of the system.This increment under ultimate loads can be as high as three times the lateral displacement of the original system with a rigid cap.Finally, soil dilation did not significantly affect the pile group response as the soil mass seems to be restricted by the surrounding piles.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.205
Teacher spread0.200 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Civil, Structural and Transportation Engineering→Same topicGeotechnical Engineering and Soil Mechanics→French-language works237,207→