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Record W4414171937 · doi:10.1520/gtj20240182

A New Apparatus for Seepage and Internal Erosion Soil Column Tests in Geotechnical Centrifuge

2025· article· en· W4414171937 on OpenAlexaff
Chang Guo, Bo Huang, Jiying Fan, Wenyue Zhang, Yao Tang

Bibliographic record

VenueGeotechnical Testing Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsRoyal Military College of CanadaQueen's University
FundersNatural Science Foundation of Zhejiang ProvinceNational Natural Science Foundation of China
KeywordsInternal erosionCentrifugeHydraulic headPermeameterPore water pressurePiezometerErosionDisplacement (psychology)

Abstract

fetched live from OpenAlex

ABSTRACT Understanding the hypergravity effect on seepage and internal erosion is the essential precondition for dam hydraulic disaster modeling using geotechnical centrifuges. Soil column testing is useful to bridge this knowledge gap, but previous attempts did not provide adequate functionality in centrifuge environments. This study develops a centrifuge-available apparatus for seepage and internal erosion soil column tests (CASIE). CASIE ensures a consistent and stable circulating water supply with no less than 34,000 ml/min at 80 g via double-bowl upstream and downstream water tanks and a vertical, multistage centrifugal pump. The hydraulic gradient can be controlled by adjusting the elevation of the upstream water tank using a servo lifting system with a vertical displacement range of 1.2 m and a maximum vertical speed of 155 mm/min. A rigid-wall permeameter is developed for multiple applications in soil column tests for seepage and internal erosion. The flowrate through the specimen can be measured using four parallel-installed oval gear flowmeters with a large measurement range of 10–10,000 ml/min. To validate the capabilities of CASIE, two suffusion (one form of internal erosion) tests were conducted at 1 g and 30 g. The results reveal that the scaling factor for the critical hydraulic gradient of 30 g to 1 g is 1/10. It is much less than the predicted value of 1, indicating that suffusion failure is more readily triggered in the hypergravity environment.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.245
Teacher spread0.232 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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