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Experimental Investigation of Single Model Pile and Pile Group Behavior in Saturated and Unsaturated Sand

2019· article· en· W2979006940 on OpenAlexaff
Mohammed Al-Khazaali, Sai K. Vanapalli

Bibliographic record

VenueJournal of Geotechnical and Geoenvironmental Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPileGeotechnical engineeringSuctionSoil waterGeologyEngineeringSoil science

Abstract

fetched live from OpenAlex

The research focus of this paper is directed to investigate the behavior of a single model pile and pile groups in sand under both saturated and unsaturated conditions. Forty different model tests were performed on single piles and pile groups by varying the water-table level. Influence of matric suction, roughness of soil–shaft interface, dilation, and group action were investigated. Test results suggest that the ultimate load-carrying capacity of a single pile and pile groups increased by twofold to 2.5-fold, and settlements decreased significantly due to the matric suction’s contribution in comparison with saturated conditions. Erroneous results are likely if conventional soil-mechanics principles are extended in the estimation of pile group capacity and the group efficiency factor for unsaturated cohesionless soils. These errors can be attributed to neglecting the cumulative influence of matric suction and stress overlap in pile group behavior of sandy soils. This study highlights the need for rigorous interpretation of pile load test results taking account of the influence of matric suction when evaluating pile group capacity and group efficiency factor in engineering practice for unsaturated sandy soils.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.618

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 head0.006
GPT teacher head0.171
Teacher spread0.165 · 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 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

Citations55
Published2019
Admission routes1
Has abstractyes

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