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Record W3201566317

Physicohemical and Geotechnical Evaluation of Lime Treated Soils in New and Existing Industrial Applications

2020· article· en· W3201566317 on OpenAlexaboutno aff
Narain Hariharan

Bibliographic record

VenueOakTrust (Texas A&M University Libraries) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLimeSoil waterGeotechnical engineeringGeologyEnvironmental scienceSoil science
DOInot available

Abstract

fetched live from OpenAlex

Lime products (quicklime, hydrated lime and quick or hydrated lime slurry) have been widely studied and effectively used for chemical stabilization of expansive subgrade soils beneath roadways. However, several unanswered questions remain regarding the long-term durability of lime treatment and the nature of chemical interactions between lime and the soil minerals in new and less common industrial applications. The emphasis of this work is to evaluate the use of lime products for two such applications; the treatment and management of the Canadian oil sands fluid fine tailings (FFTs) having solids concentrations by mass of about 30%, and the treatment of soils used in the construction of hydraulic structures in permanent contact with water. In addition, modifications are proposed to two existing methods used for characterizing the volumetric stability of expansive soils to account for the changes in material properties due to lime treatment and ultimately improve the design of roadways built on expansive soils. \nFirst, a physicochemical and geotechnical evaluation is performed on hydrated lime slurry treated FFTs after dewatering them using a decanter centrifuge or a benchtop pressure filter to obtain a solids fraction comprising of 55% to 70% solids by mass. The results demonstrate three unique benefits of lime over other calcium-based coagulants and polymeric flocculants; the ability to increase pH and enhance clay capture within the solids and clarify the release water, the ability to deplete carbonate phases up to a pH of 11.5, and the ability to produce a material with undrained shear strengths in excess of 100 kPa within 28 days suitable for reclamation. A numerical model is developed using the experimental results to predict the liquidity index and shear strength of lime treated FFT solids over the first 180 days. \nNext, a case study is conducted to evaluate the durability of nearly 50-year-old lime treated sections at the Friant-Kern canal in a similar manner to the oil sands application but considering the impact of leaching and carbonation due to environmental factors. The results indicate minimal leaching of lime over time and demonstrate the benefits of lime towards increasing strength of the soils through pozzolanic reactions, reducing soil erosion and mitigating expansion by improving drainage characteristics due to textural modification of the clays to lean silts. \nFinally, two modifications to existing methods are proposed to understand the true impact of lime treatment on reducing the vertical movement in roadways due to expansive soils; the first using the soil water characteristic curve to define the initial moisture state of soils in the Tex-124-E method, and the second using the packing arrangement of soil particles to define a shift factor to relate the suction compressibility index of reconstituted and intact soils.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.230
Teacher spread0.165 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

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