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Record W4316661677 · doi:10.18280/rcma.320607

Experimental Research Study on Geo Polymer Concrete using Eggshell Powder with Reaction Generating Liquid

2022· article· fr· W4316661677 on OpenAlexvenueno aff
Konnoju Saikumar Chary, Nijagala Munilakshmi

Bibliographic record

VenueRevue des composites et des matériaux avancés · 2022
Typearticle
Languagefr
FieldEngineering
TopicGrouting, Rheology, and Soil Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsEggshellPolymerMaterials sciencePolymer scienceComposite materialGeology

Abstract

fetched live from OpenAlex

In this twenty-first century, Development is not only related to innovativeness in new applications but also reliability of infrastructural technology.Concrete is the main ingredient for the construction of infrastructure.When compared to other applied materials in the environment of concrete, its main component is cement.It is widely used in construction materials because of the raw materials present over the world.Nowadays Portland cement is the most popular cement concrete, but Global warming occurs due to the emission of the subsequent amount of carbon dioxide releasing quantity.So, to overcome this situation researchers are making a new step towards new alternative material named Geo Polymer concrete developed by Joseph Davidovits.It seems to be a potential alternative to standard concrete.In this we are using waste materials of combustion of coal powder waste flyash and Disposal of waste material eggshell powder for the full replacement of cement using the Reaction generating liquid with (flyash70% -eggshell 30%), (flyash80% -eggshell20%), (flyash90% -eggshell10%), (flyash100%eggshell 0%) compressive strength, split tensile strength, Flexural strength testing experiments are performed based on their proportions.This evaluating work mainly concentrates on the change in impact factor of silica modulus consisting of Reaction Generating Liquid (RGL)(Sio2/Na2o) ranging from 0.6 to 1.5.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.137
GPT teacher head0.348
Teacher spread0.211 · 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
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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevue des composites et des matériaux avancésSame topicGrouting, Rheology, and Soil MechanicsFrench-language works237,207