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Record W2003631394 · doi:10.1680/ijpmg.2011.11.1.2

Centrifuge scaling laws of pile response to lateral spreading

2011· article· en· W2003631394 on OpenAlexaff
Javier Ubilla, Tarek Abdoun, R. Dobry

Bibliographic record

VenueInternational Journal of Physical Modelling in Geotechnics · 2011
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsCentrifugeGeotechnical engineeringPileScaling lawEngineeringScale (ratio)ScalingGeologyPhysicsMathematics

Abstract

fetched live from OpenAlex

A number of centrifuge tests have been conducted to study the interaction between liquefied sand under earthquake-induced lateral spreading and pile foundations. Most of those centrifuge models resemble full-scale prototypes from case histories, usually with limited field measurements, while a few of them replicate the conditions of full-scale heavily instrumented laboratory tests. This paper presents the results of centrifuge tests modelling the single pile interaction with liquefied sand conducted at Rensselaer Polytechnic Institute in Troy, New York, and their comparison with the respective large-scale prototype tests conducted at the National Research Institute for Earth Science and Disaster Prevention in Tsukuba, Japan. A critical analysis of the scaling laws currently used for this kind of centrifuge tests is included, focusing on the use of viscous fluid for centrifuge model saturation and the validity of the centrifuge scaling laws when shear band development plays an important role in soil–structure interaction. This paper also presents recommendations for pile foundations design against the lateral pressure associated with liquefied sand under lateral spreading.

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 score0.296
Threshold uncertainty score0.624

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 integrity0.0000.000
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 head0.018
GPT teacher head0.225
Teacher spread0.207 · 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

Citations12
Published2011
Admission routes1
Has abstractyes

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