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Record W4206844980

A new approach to the thixotropic behaviour of sewage sludge

2006· preprint· en· W4206844980 on OpenAlexaff
Hervé Tabuteau, J.C. Baudez

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2006
Typepreprint
Languageen
FieldEngineering
TopicElectrokinetic Soil Remediation Techniques
Canadian institutionsWestern University
Fundersnot available
KeywordsThixotropySewage sludgeEnvironmental scienceSewageWaste managementGeologyEnvironmental engineeringGeotechnical engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

Thixotropy refers to a strong dependence of the material behaviour on the previous flow history, which in particular means that the time to achieve complete structural rebuilding at rest increases with the previous shear intensity. In that case it is more or less implicitly assumed that particle-particle interactions play a role at rest (in the rebuilding phase) while viscous dissipations dominate as soon as flow starts. In this paper, we demonstrate that the rheological behaviour of sewage sludge is driven by a competition between solid interactions and viscous forces under shear. The latter effects dominate above a critical shear stress,Ï"c , but below this value, the solid structure progressively rebuilds even under shear as the shear rate decreases towards zero (which in particular generates dead zones in circular cups or tanks). We also show that the time-dependent phase is directly related to the flow history of the material: beyond Ï"c the transient phase is longer as the time of rest increases, while below Ï"c the shear compliance, which reflects the brittleness of the solid network, decreases with the time of rest. Moreover, by scaling the experimental time by (t_r)^n where tr and n are respectively the time of rest and an ageing index, all the compliance curves fall along a master curve, indicating some self-similarity of the behaviour of the material during aging for different flow histories.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.001
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 head0.011
GPT teacher head0.211
Teacher spread0.201 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations6
Published2006
Admission routes1
Has abstractyes

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