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Record W3021028443 · doi:10.1680/jgeot.18.p.353

Permeation behaviour of PHPA polymer fluids in sand

2020· article· en· W3021028443 on OpenAlexaff
John O. Ejezie, Stephan A. Jefferis, Carlos Lam, Majid Sedighi, Syed Mohd Ahmad

Bibliographic record

VenueGéotechnique · 2020
Typearticle
Languageen
FieldEngineering
TopicGrouting, Rheology, and Soil Mechanics
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsPolymerGeotechnical engineeringRheometerRheologyBentonitePermeability (electromagnetism)PermeationMaterials scienceSlurryFlumeGeologyComposite materialChemistryFlow (mathematics)MembraneMechanics

Abstract

fetched live from OpenAlex

Polymer solutions are now commonly used as excavation-support fluids for the construction of bored piles (drilled shafts) and diaphragm walls around the world. Fluids based on synthetic polymers have several advantages over the conventional bentonite-based slurries, including improved foundation performance, smaller site footprint and reduced environmental impact. However, the flow behaviour of polymer fluids in soils is not well understood, and this hinders the study of the stabilising mechanisms of the support fluids. This paper presents the results of an experimental study to investigate the permeation characteristics of polymer fluids in coarse soils at the macroscopic level. To this end, constant-head permeability tests were carried out using three gradings of sand and partially hydrolysed polyacrylamide solutions over a range of concentrations, with water as a reference fluid. The results show that, under steady-state flow conditions, the hydraulic conductivity of the sand reduced from about 10 −2 m/s when tested with water to values ranging from an order of 10 −4 to 10 −7 m/s when permeated with polymer solutions. This reduction in permeability by many orders of magnitude explains why polymer fluids can stabilise excavations in sand, while water alone cannot. In addition, the rheological properties of the polymer fluids derived from the permeability tests were found to differ from those measured in a rheometer. This suggests that the permeation behaviour of polymer fluids in sand cannot be predicted from rheometer measurements alone and that the effect of soil must be considered. The findings reported in this paper will provide the basis for future investigations into the stability of excavations stabilised with polymer fluids.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.387

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 science0.0000.000
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 head0.011
GPT teacher head0.208
Teacher spread0.197 · 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 designBench or experimental
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

Citations29
Published2020
Admission routes1
Has abstractyes

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