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Record W4413344525 · doi:10.1080/21650373.2025.2545615

Development and evaluation of a cementless steel slag–blast furnace slag binder for stabilization of dredged soils with high natural water content

2025· article· en· W4413344525 on OpenAlexaff
Boyoung Yoon, Hyunwook Choo, Jaewon Jang

Bibliographic record

VenueJournal of Sustainable Cement-Based Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsFuture Earth
FundersNational Research Foundation of Korea
KeywordsGround granulated blast-furnace slagSlag (welding)MetallurgyBlast furnaceMaterials scienceSoil waterWater contentWaste managementEnvironmental scienceGeotechnical engineeringEngineeringCement

Abstract

fetched live from OpenAlex

Dredged soils with high water content, low shear strength, and poor compaction hinder reuse as construction materials. This study introduces a novel, cementless binder using an optimal mix of steel slag and blast furnace slag (OSB) to stabilize dredged soils at liquid limit. Soils mixed with 10–30% OSB binder and cured for up to 28 days were compared with compacted dredged soils (CDS) and rapid-hardening cement (RHC)-stabilized soils. OSB binder markedly improved strength, stiffness, and durability over CDS. After 14 days, unconfined compressive strength rose 100–300%, and shear wave velocity at vertical stress of 15.3 kPa matched CDS values at 57–113 kPa. Microstructural analyses showed C–S–H and C–A–H gels, enhancing interparticle bonding and lowering compressibility. OSB also delivered greater ductility and wetting-drying resilience than RHC, offering a sustainable, cost-effective option for low to moderate vertical stress uses, such as road subgrades.

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)0.003
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 score0.005
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.027
GPT teacher head0.261
Teacher spread0.235 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable Cement-Based MaterialsSame topicConcrete and Cement Materials ResearchFrench-language works237,207