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Record W4245459962 · doi:10.11159/icgre20.140

Optimization of Enzyme Induced Carbonate precipitation (EICP)cementing solution using Design of Experiments

2020· article· en· W4245459962 on OpenAlexvenueno aff
Rami Alsodi, Mohamed G. Arab, Abdallah Shanablah, Maher Omar, Mufid Samarai

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Applications in Construction Materials
Canadian institutionsnot available
FundersSharjah Research AcademyUniversity of Sharjah
KeywordsCarbonatePrecipitationChemistryChemical engineeringEngineeringOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Enzyme induced carbonate precipitation (EICP) is a biogeotechnical ground improvement technique that enhance the mechanical properties of the soil by binding the soil particles together through precipitating calcium carbonate at the particles contact points. Taguchi design of experiment technique was implemented to optimize the EICP cementing solution. The analysis suggests that a solution of 3 M Urea, 1.5 M CaCl2, 3 g/L Urease and 4 g/L of milk is optimum for maximum carbonate precipitation. To verify the efficiency of the obtained solution, silica sand was treated with the optimized solution to confirm the effectiveness of the proposed solution. An average compressive strength of 1.22 MPa was achieved using this cementing solution.

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 score0.034
Threshold uncertainty score0.566

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 head0.019
GPT teacher head0.218
Teacher spread0.199 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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Same venueProceedings of the World Congress on Civil, Structural, and Environmental EngineeringSame topicMicrobial Applications in Construction MaterialsFrench-language works237,207