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Record W2040807658 · doi:10.1061/9780784412121.209

Soil Characterization in Centrifuge Models through Measurement of Shear Wave Velocities Using Bender Elements

2012· article· en· W2040807658 on OpenAlexaboutno aff
Waleed El-Sekelly, Tarek Abdoun, Ricardo Dobry

Bibliographic record

VenueGeoCongress 2012 · 2012
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsCentrifugeGeotechnical engineeringShear (geology)GeologyVoid ratioPhysics

Abstract

fetched live from OpenAlex

The determination of the dynamic properties of the soil is a critical issue in geotechnical engineering. It is of a particular importance in problems involving dynamic excitation of soil systems, such as earthquakes. This research focuses on measuring the velocity of seismic waves, particularly shear waves, in the centrifuge soil models. The high noise during the centrifuge operation, and the need of using a number of bender elements in the same model, makes the use of bender elements in the centrifuge more challenging. The research starts with improving the current bender elements system at RPI Geotechnical Centrifuge Center. This involves solving electric and electromagnetic problems in the system and reducing noise and ghosting effects. The improved bender elements system is then used to determine the shear (S) wave velocities of dry Ottawa sand at different void ratios and different overconsolidation ratios in the centrifuge. The shear wave velocity measurements are also used to estimate the effect of overconsolidation on the coefficient of lateral earth pressure at rest (Ko). A comparison of the results is done with those published in the literature.

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 score0.133
Threshold uncertainty score0.757

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 communication0.0000.001
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 head0.056
GPT teacher head0.226
Teacher spread0.170 · 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

Citations19
Published2012
Admission routes1
Has abstractyes

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