Low-Carbon, Low-Shrinkage Concrete Design Based on Paste–Aggregate Binary Model

This study presents a performance-based concrete mix design methodology rooted in the paste-aggregate binary framework, aiming to reduce binder content while ensuring optimal workability and strength. We found that inter-particle spacing (SPT) and paste rheology jointly govern fresh concrete behavior, with slump increasing nonlinearly with SPT and a critical transition zone around 20-35 µm; paste yield stress controls slump, while plastic viscosity governs segregation resistance. A two-level strength model was developed to predict concrete strength from paste properties based on compactness and hydration (R<sup>2</sup> = 0.90). Fixing SPT at 25 µm was identified as optimal for achieving balanced flowability with minimal paste volume. This approach effectively decouples aggregate packing optimization from paste calibration, offering a physically interpretable and practical framework for designing sustainable, low-carbon, and low-shrinkage concrete.

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Publication Details

Journal
Materials
Published
2025-07-12
DOI
https://doi.org/10.3390/ma18143292
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
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article

Low-Carbon, Low-Shrinkage Concrete Design Based on Paste–Aggregate Binary Model

Lu Han, Chunming Lian, Weijun Wen, Wei Lin et al.
Materials
Innovations in Concrete and Construction Materials
article

Low-Carbon, Low-Shrinkage Concrete Design Based on Paste–Aggregate Binary Model

Lu Han, Chunming Lian, Weijun Wen, Wei Lin, Xiong Zhang
article en

Abstract

This study presents a performance-based concrete mix design methodology rooted in the paste-aggregate binary framework, aiming to reduce binder content while ensuring optimal workability and strength. We found that inter-particle spacing (SPT) and paste rheology jointly govern fresh concrete behavior, with slump increasing nonlinearly with SPT and a critical transition zone around 20-35 µm; paste yield stress controls slump, while plastic viscosity governs segregation resistance. A two-level strength model was developed to predict concrete strength from paste properties based on compactness and hydration (R<sup>2</sup> = 0.90). Fixing SPT at 25 µm was identified as optimal for achieving balanced flowability with minimal paste volume. This approach effectively decouples aggregate packing optimization from paste calibration, offering a physically interpretable and practical framework for designing sustainable, low-carbon, and low-shrinkage concrete.

MaterialsVol. 18(14)
Tongji University (CN), China Construction Eighth Engineering Division (China) (CN)
Responsible consumption and production
Openalex Percentile: Top 82%
Innovations in Concrete and Construction Materials
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Low-Carbon, Low-Shrinkage Concrete Design Based on Paste–Aggregate Binary Model — Lu Han, Chunming Lian, et al. · Materials (2025) | TGRS Research Map | TGRS