Constitutive Modeling of Rheological Behavior of Cement Paste Based on Material Composition
Chunming Lian, Xiong Zhang, Lu Han, Wenbiao Lin, Weijun Wen
TL;DR
This paper introduces a new model to predict the flow behavior of cement paste based on its material composition, improving concrete design and performance.
Contribution
A novel composition-based constitutive model using a virtual maximum packing fraction to predict cement paste rheology.
Findings
The model accurately predicts yield stress and plastic viscosity with R2 > 0.98 for plain pastes.
Superplasticizer effects are captured through modifications to the virtual maximum packing fraction.
The model supports intelligent mix design for high-performance concrete applications.
Abstract
The rheological behavior of cementitious paste plays a pivotal role in determining the workability, pumpability, and uniformity of fresh concrete. Classical rheological models often struggle to capture the complex flocculation and hydration effects inherent in cement-based systems, and they typically depend on parameters that are difficult to measure directly, limiting their practical utility. This study presents a novel composition-based constitutive model that introduces a virtual maximum packing fraction (ϕmax) to account for interparticle flocculation and entrapped water effects. By establishing quantitative relationships between powder characteristics—such as particle size and specific surface area—and rheological parameters, the model enables physically interpretable and measurable predictions of yield stress and plastic viscosity. Our validation against 65 paste formulations with…
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Taxonomy
TopicsInnovations in Concrete and Construction Materials · Concrete and Cement Materials Research · Grouting, Rheology, and Soil Mechanics