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Record W2617065111 · doi:10.11159/icnfa17.105

The Effect of Nanokaolinite on the Compressibility and Atterberg Limit of the Silty Loess Soil in Golestan Province

2017· article· en· W2617065111 on OpenAlex
Rasool Yazarloo, Javad Gholizadeh, Abdolghader Amanzadeh, Seyed Aghil Mortazavi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the World Congress on New Technologies · 2017
Typearticle
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsnot available
Fundersnot available
KeywordsAtterberg limitsLoessGeotechnical engineeringCompressibilityLimit (mathematics)Soil scienceGeologyEnvironmental scienceMathematicsGeomorphologyWater contentPhysicsThermodynamicsMathematical analysis

Abstract

fetched live from OpenAlex

The loess in Golestan Province can be divided into clayey, silty and sandy loess based on the geological engineering properties. The silty loess has great importance due to the extended surface and the several reported risks. Loess soil is one of the problematic soils in which some of the geotechnical properties should be modified or improved before conducting the projects. Loess is one of the soil types available in many countries and a great number of geotechnical risks were reported regarding them. The current study investigated the effect of adding nanokaolinite on the compressibility and the Atterberg limit of the silty loess soil of Golestan province through the field sampling and performing tests with the different percent of nanokaolinite. To prepare the nanokaolinite, the mechanical method of ball milling was employed. According to the grain size distribution tests, the soil sample is CL-ML type based on unified classification. Standard proctor test results showed that adding the nanokaolinite increased the maximum dry unit weight of the soil at first and then it was decreased. Moreover, adding nanokaolinite resulted in the significant increases of liquid and plastic limits while nanokaolinite amount more than 5% led to the decrease in plastic index.

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.

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)0.002
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 score0.168
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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