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Record W2335143231 · doi:10.1520/gtj102925

Liquefaction Study of Heterogeneous Sand: Centrifuge

2010· article· en· W2335143231 on OpenAlexaff
Pradipta Chakrabortty, Radu Popescu, Ryan Phillips

Bibliographic record

VenueGeotechnical Testing Journal · 2010
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsCentre For Cold Ocean Resources Engineering
Fundersnot available
KeywordsCentrifugeGeotechnical engineeringLiquefactionGeologyPore water pressureHomogeneousSoil liquefactionRelative densityMaterials science

Abstract

fetched live from OpenAlex

Abstract From past numerical research and small scale laboratory tests, it has been observed that more excess pore water pressure (EPWP) is generated during earthquakes in a heterogeneous sand deposit than in the corresponding homogeneous sand with relative density equal to the average relative density of the heterogeneous sand. This interesting phenomenon is investigated here in large scale experiments using geotechnical centrifuge modeling techniques. A series of liquefaction tests have been conducted at C-CORE’s geotechnical centrifuge facility: Two on variable sand and one on uniform sand deposits. A one level frame structure resting on two strip footings was also placed on that sand deposit to study the effect of soil variability on building foundations. Experimental results such as accelerations, EPWPs and settlements were monitored and measured throughout the tests. Recorded results support the conclusion of previous research that more EPWP is generated in heterogeneous sand deposits than in the corresponding homogeneous sand. The liquefaction mechanism of heterogeneous sands leading to this phenomenon is discussed in this paper.

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)0.001
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 score0.043
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.002
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 head0.013
GPT teacher head0.228
Teacher spread0.215 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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