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Record W2015893264 · doi:10.1680/coma.14.00013

Lightweight SCC with volcanic and other natural materials

2014· article· en· W2015893264 on OpenAlexaff
Khandaker M. Anwar Hossain

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Construction Materials · 2014
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDurabilityPumiceShrinkageMetakaolinMaterials scienceCompressive strengthVolcanic ashGeotechnical engineeringComposite materialAir entrainmentPermeability (electromagnetism)VolcanoGeologyChemistry

Abstract

fetched live from OpenAlex

This paper presents the fresh, mechanical and durability properties of lightweight self-consolidating concrete (LWSCC) mixtures produced from pumice aggregates and supplementary cementing materials derived from various combinations of volcanic ash, pumice powder and metakaolin. The fresh state properties were determined from slump flow, V-funnel flow time, bleeding, air content, setting time and segregation tests. The mechanical properties and durability characteristics such as compressive strength, rapid chloride permeability, ultrasonic pulse velocity, freeze–thaw/frost resistance, resistance to salt scaling and drying shrinkage were evaluated. The use of volcanic ash, pumice and metakaolin as supplementary cementing materials improved resistance to chloride penetration, freeze–thaw and salt scaling. The developed LWSCC mixtures exhibited satisfactory durability and also satisfied the criteria for structural concrete. The application of developed LWSCCs can lead to low-cost sustainable construction in volcanic areas around the world.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.558

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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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

Citations14
Published2014
Admission routes1
Has abstractyes

Explore more

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