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Record W2003050273 · doi:10.1680/grim.11.00001

Experimental creep behaviour and modelling of silicified sand

2012· article· en· W2003050273 on OpenAlexaboutno aff
Timothy S. Becker, Joseph E. Dove, Patricia M. Dove

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Ground Improvement · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Applications in Construction Materials
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsCreepSodium silicateGeotechnical engineeringMaterials scienceDeformation (meteorology)Laboratory testEnvironmental scienceComposite materialGeologyEngineering

Abstract

fetched live from OpenAlex

The stress–strain–time behaviour was investigated for sand that was treated by a new biologically inspired silicification process. This ground treatment method offers the potential to achieve similar performance as existing soil treatment methods using lower concentrations of environmentally benign component materials. This experimental study evaluated the influence of a polyelectrolyte pretreatment and test procedure on the fundamental strength of medium dense Ottawa 20/30 sand silicified with 20% sodium silicate. Samples were subjected to unconfined single-increment, unconfined incremental, and confined incremental creep tests. The results show that the creep behaviour of silicified samples is similar to the behaviour of traditionally treated sand. Fundamental strengths were approximately 50 kPa when unconfined, and ranged from 117 kPa to greater than 340 kPa when confined at 69 and 138 kPa, respectively. The data also show that incremental creep tests may be a more rapid means of determining parameters for creep modelling than the existing standardised single-increment test method. Parameters for modelling long-term deformation behaviour are consistent with published parameters for existing soil treatment methods even though compositional differences exist between the samples used in studies.

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 score0.008
Threshold uncertainty score0.373

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 head0.015
GPT teacher head0.213
Teacher spread0.198 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Institution of Civil Engineers - Ground ImprovementSame topicMicrobial Applications in Construction MaterialsFrench-language works237,207