MétaCan
Menu
Back to cohort
Record W4360604932 · doi:10.1139/cjce-2022-0268

Promoting substitute aggregate system for the environmental-friendly geopolymer paver applications

2023· article· en· W4360604932 on OpenAlexvenueno aff
M. Rajendran, Mariappa Kumaresh S., Chandru E.K.

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsnot available
Fundersnot available
KeywordsCementitiousGeopolymerEnvironmentally friendlyAggregate (composite)LateriteCompressive strengthMetakaolinPortland cementCementEnvironmental scienceMaterials scienceWaste managementComposite materialMetallurgyEngineering

Abstract

fetched live from OpenAlex

Concerning the environmental imbalance caused by the over-exploitation of natural aggregates and the greenhouse emission of cementitious materials in the construction industry, in this paper, abundant laterite soil and natural coconut shells were used as partial substitutes for aggregate to make the cement-less geopolymer concrete a resource-efficient product. The effect of the alternative aggregate system in the geopolymer concrete was assessed in the aspects of strength and sustainability. The inclusion of laterite soil and coconut shell in the geopolymer resulted in 1.81 times improved toughness without significant change in the compressive strength. The use of laterite soil and coconut shell aggregates maintained the thermal stability up to 600 °C and reduces the consumption of 280 kg natural sand and 390 kg coarse aggregates while casting 1 m 3 concrete, which supports to promote the alternative aggregate system for the efficient production of environmental-friendly geopolymer pavers.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.576
Threshold uncertainty score0.550

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 head0.008
GPT teacher head0.183
Teacher spread0.175 · 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 designSimulation or modeling
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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Civil EngineeringSame topicInnovative concrete reinforcement materialsFrench-language works237,207