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Record W4392908379 · doi:10.32920/25412773

Development and Performance Evaluation of One-part Alkali-activated Binders, Mortars and Engineered Composites

2024· preprint· en· W4392908379 on OpenAlexafffund
Dhruv Sood

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceGround granulated blast-furnace slagComposite materialFly ashReagentCompressive strengthFlexural strengthTernary operationCementMortarUltimate tensile strengthComposite numberSodium hydroxideFiberChemical engineeringChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The main objective of this experimental research was to develop alkali-activated engineered composites (AAECs) with comparable performance to that of conventional engineered cementitious composites (ECCs). The use high cement content in ECCs for uniform fiber distribution encouraged the development of cement-free binders using alkali-activation technology. Alkali activated binders (AABs) were developed through activation of high calcium industrial wastes comprising of fly ash class C (FA-C), fly ash class F (FA-F) and ground granulated blast furnace slag (GGBFS) as precursors by calcium-based solid form reagent combinations (calcium hydroxide, sodium silicates, sodium metasilicate and sodium sulfate) using a one-part dry mixing technique under ambient conditions. The influences of mono/binary/ternary combinations/proportions of precursors, dosages of reagents, reagent component ratio, and the fundamental chemical ratios (SiO /2l O2,3Na O2SiO , 2aO/SiO , an2 Na O/Al2O ) p2e3ent in the precursorsand reagents on workabilityandcompressivestrength havebeeninvestigatedto suggest suitable AAB mix compositions for further development of alkali-activated mortars and strainhardening AAECs by subsequent additions of silica sand and PVA fiber, respectively. The binary (FA-C and GGBFS) composites obtained higher 56-day compressive strengths (between 48 MPa and 52 MPa) than their ternary (FA-C, FA-F and GGBFS) counterparts. The lower fracture and crack tip toughness of the binary mortars compared to their ternary counterparts facilitated the development of higher flexural strength (ranging from 5.3 MPa to 11.3 MPa) for binary composites. The tensile stress relaxation process was relatively gradual in binary composites owing to the formation of a more uniform combination of reaction products C-S-H/C-A-S-H compared to the combined formation of amorphous N-C-A-S-H/N-A-S-H and crystalline C-A-S-H binding phases with traces of C-S-H in the case of ternary composites. The self-healing performance of composites incorporating reagent-2 (calcium hydroxide: sodium sulfate = 2.5:1) was superior to their counterparts with reagent-1 (calcium hydroxide: sodium metasilicate = 1:2.5) in tensile strength and strain capacity recovery. These composites demonstrated complete recovery of or enhanced/greater tensile strength and strain capacities than their virgin counterparts at 365 days. The developed green cement-free AAECs with satisfactory performance indices (based on stress, energy, tensile and flexural ductility) demonstrated their potential for applications in construction industries.

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 score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.055
GPT teacher head0.276
Teacher spread0.221 · 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
Published2024
Admission routes2
Has abstractyes

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