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Record W2727290524 · doi:10.1061/9780784480793.012

Evaluation of Durability and Waterproofing Characteristic of Cast-in-Place Piles Using Surfactant Grout at the Field Tests

2017· article· en· W2727290524 on OpenAlexaff
Juhyung Lee, Jinung Do, Hakseung Kim, Bonggeun Park

Bibliographic record

VenueGrouting 2017 · 2017
Typearticle
Languageen
FieldEngineering
TopicGrouting, Rheology, and Soil Mechanics
Canadian institutionsBGC Engineering (Canada)
Fundersnot available
KeywordsGroutWaterproofingDurabilityPileGroundwaterGeotechnical engineeringInfiltration (HVAC)Structural engineeringEngineeringCivil engineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

In case of underground construction affected by groundwater, CIP (cast-in-place pile) method is generally used to solve the geohydraulic problem. However, as this method has poor connectivity between piles, an auxiliary cut-off method is required in many cases. In this study, a newly-developed cut-off wall (H-CIP) without auxiliary method, by using surfactant grout (Hi-FA), which improves anti-washout performance and infiltration ability, is introduced and the field applicability of H-CIP method is evaluated. CIP and H-CIP piles were installed under the same ground conditions and field and laboratory tests were conducted to verify the performance, respectively. As a result, a newly-contrived H-CIP method shows higher field performance in terms of cut-off and strength than conventional CIP method.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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 head0.049
GPT teacher head0.310
Teacher spread0.261 · 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 designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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