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Record W3113091345 · doi:10.1080/19648189.2020.1847691

Durability performance evaluation of green geopolymer concrete

2020· article· en· W3113091345 on OpenAlexaff
Salmabanu Luhar, Ismail Luhar, Rishi Gupta

Bibliographic record

VenueEuropean Journal of Environmental and Civil engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDurabilityCarbonationSorptivityWaterproofingGround granulated blast-furnace slagCementitiousEfflorescenceShrinkageMaterials scienceConstruction engineeringForensic engineeringArchitectural engineeringEngineeringCementComposite material

Abstract

fetched live from OpenAlex

The present manuscript is a state-of-the-art review, which examines the most recent stages in the developments of the class of eco-efficient green geopolymer concrete technology in the light of its history of research, more specifically, focusing on its unsettled durability criterion. The objective of this article is not merely to review it’s on hand literature but also to focus on durability attribute on establishing it as a perspective cost-effective and sustainable universal building material. According to some researchers, durability related characteristics of GPC such as alkali-silica reaction; resistances to acid attack, Sulphate attack, freeze-thaw conditions, corrosion; water absorption, permeability, porosity, sorptivity, Chloride penetration, Chloride migration test techniques, Carbonation, drying shrinkage and efflorescence necessitate more elucidations to prove its capability as durable edifice material. The suggestions mentioned in this article will be helpful for future research work on long-drawn-out durability. Although a little challenge viz., curing hurdles, practical confronts of utilization at times, restricted supply chain, and a call for vigilant command of mixture design for its manufacturing, are standing in its pathway for a quid pro quo replacement of OPC-concrete from the construction industries. Ultimately, the paper identifies research challenges, promotion and relevant discussions for this promising novel type of building material.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.188
Teacher spread0.172 · 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

Citations59
Published2020
Admission routes1
Has abstractyes

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Same venueEuropean Journal of Environmental and Civil engineeringSame topicConcrete and Cement Materials ResearchFrench-language works237,207