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ECO FRIENDLY CONCRETE FOR SUSTAINABLE STRUCTURES

2020· article· pt· W3114832370 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMIX Sustentável · 2020
Typearticle
Languagept
FieldEngineering
TopicRecycled Aggregate Concrete Performance
Canadian institutionsImpact
Fundersnot available
KeywordsPhysicsEnvironmental scienceHumanitiesMaterials scienceArt

Abstract

fetched live from OpenAlex

The present article contemplates the study of eco friendly concrete by substituting Portland cement (PC) for very high levels of limestone filler (LF) in binary and ternary mixtures with fly ash (FA) in proportions of 50 to 80%, with ratios 0.25 a/b and optimization of the particle size. Results of compressive strength, CO2eq emission, energy consumption and binder intensity are presented, with which comparative indices were calculated to observe the performance of the mixtures. From the point of view of sustainability, it was possible to prepare concrete with a compressive strength of 51.8 MPa, at 91 days, with 77 kgCO2.m-3 of concrete, where 80% of the PC were replaced by 70% of LF and 10 % of FA, with consumption of only 97 kg.m-3 of PC (87 kg.m-3 of clinker) and 104 L.m-3 of water. The study shows the achievement ofstructural concrete with fck of up to 80 MPa with very low CO2eq emissions and energy consumption, through the use of high levels of mineral additions (MA) and reduced environmental impact.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.224
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