Predicting microstructure and mechanical properties during alite (C <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" display="inline" id="d1e982"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>3</mml:mn> </mml:mrow> </mml:msub> <

Predicting the evolving microstructure of hydrating cement is essential for understanding and modeling its mechanical property development. Physics-based continuum approaches offer a rigorous framework for capturing the thermodynamics of dissolution and precipitation processes at the microstructural scale. In this work, we present an adapted Phase-Field (PF) model for cement hydration that resolves key physical inconsistencies in existing PF formulations by introducing a revised free-energy potential and distinct equilibrium constants for clinker dissolution and hydrate precipitation. The resulting PF framework reproduces microstructural evolution, yielding realistic porosity levels and continuous phase boundaries in close agreement with experimental observations. The predicted hydrated microstructures are subsequently used in a computational homogenization scheme to evaluate the elastic response of the material. The PF-derived mechanical properties show good agreement with experimental trends, supporting the ability of the proposed framework to consistently link hydration chemistry, microstructure formation, and the resulting mechanical response. • A PF model predicts the microstructure evolution during the alite hydration. • The estimation of the sample behavior is based on the predicted microstructures. • Predicted microstructures and elastic moduli show agreement with the literature.

Authors

Institutions

Publication Details

Journal
Construction and Building Materials
Published
2026-03-26
DOI
https://doi.org/10.1016/j.conbuildmat.2026.145946
Primary Topic
Concrete Properties and Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting microstructure and mechanical properties during alite (C <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" display="inline" id="d1e982"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>3</mml:mn> </mml:mrow> </mml:msub> <

Alexandre Sac-Morane, Katerina Ioannidou, Manolis Veveakis, Hadrien Rattez
Construction and Building Materials
Concrete Properties and Behavior
article

Predicting microstructure and mechanical properties during alite (C <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg" display="inline" id="d1e982"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>3</mml:mn> </mml:mrow> </mml:msub> <

Alexandre Sac-Morane, Katerina Ioannidou, Manolis Veveakis, Hadrien Rattez
article en

Abstract

Predicting the evolving microstructure of hydrating cement is essential for understanding and modeling its mechanical property development. Physics-based continuum approaches offer a rigorous framework for capturing the thermodynamics of dissolution and precipitation processes at the microstructural scale. In this work, we present an adapted Phase-Field (PF) model for cement hydration that resolves key physical inconsistencies in existing PF formulations by introducing a revised free-energy potential and distinct equilibrium constants for clinker dissolution and hydrate precipitation. The resulting PF framework reproduces microstructural evolution, yielding realistic porosity levels and continuous phase boundaries in close agreement with experimental observations. The predicted hydrated microstructures are subsequently used in a computational homogenization scheme to evaluate the elastic response of the material. The PF-derived mechanical properties show good agreement with experimental trends, supporting the ability of the proposed framework to consistently link hydration chemistry, microstructure formation, and the resulting mechanical response. • A PF model predicts the microstructure evolution during the alite hydration. • The estimation of the sample behavior is based on the predicted microstructures. • Predicted microstructures and elastic moduli show agreement with the literature.

Construction and Building MaterialsVol. 521
Centre National de la Recherche Scientifique (FR), École nationale des ponts et chaussées (FR), Duke University (US), Laboratoire de Mécanique et Génie Civil (FR), Laboratoire Navier (FR), Université Gustave Eiffel (FR), UCLouvain (BE)
Openalex Percentile: Top 7%
Concrete Properties and Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.