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Properties Evaluation of Self Compacting Concrete Made with Industrial By-Products

2023· book-chapter· en· W4387253474 on OpenAlexaff
Shishir Kumar Sikder Amit, Sohel Rana, Sabrin Ara, M Nabil Saifuddin

Bibliographic record

VenueMaterials Engineering Research · 2023
Typebook-chapter
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPhosphogypsumCompressive strengthCementSuperplasticizerWaste managementEnvironmental sciencePortland cementDurabilityMaterials scienceEngineeringComposite materialRaw material

Abstract

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Urbanization with advanced technologies should be economic, sooner operational, and sustainable. In addition to reducing construction time, modern technologies should utilize various left-over materials or by-products to save budget and the environment. The present study examines the potential of using Phosphogypsum, an industrial by-product, in concrete as an environment-friendly, sustainable solution. Various percentages (5%, 10%, 15%, and 20%) of Phosphogypsum have been used to replace Portland cement to produce cost-effective SCC with favorable properties and strength. Conplast SP430 G8 superplasticizer has been used at a fixed amount as a chemical admixture. Laboratory tests have been performed to analyze various material properties together with conducting slump flow test, V-funnel test, and L-box test to evaluate the workability of the SCC. Compressive strength test results at 3-, 7-, 14-, and 28-days’ concrete reveals that light replacement of cement with Phosphogypsum may increase the strength, whereas higher replacement would result in a decrease in strength. The present study concludes that a 10% replacement of cement with Phosphogypsum would provide the best result with increased compressive strength. This finding eventually confirms the use of Phosphogypsum, an industrial by-product, in concrete without compromising its strength with a reduction of time and construction cost.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.188
GPT teacher head0.300
Teacher spread0.112 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

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