Cargando…

Dissolution of β-C(2)S Cement Clinker: Part 1 Molecular Dynamics (MD) Approach for Different Crystal Facets

A major concern in the modern cement industry is considering how to minimize the CO(2) footprint. Thus, cements based on belite, an impure clinker mineral (CaO)(2)SiO(2) (C(2)S in cement chemistry notation), which forms at lower temperatures, is a promising solution to develop eco-efficient and sust...

Descripción completa

Detalles Bibliográficos
Autores principales: Salah Uddin, Khondakar Mohammad, Izadifar, Mohammadreza, Ukrainczyk, Neven, Koenders, Eduardus, Middendorf, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500962/
https://www.ncbi.nlm.nih.gov/pubmed/36143700
http://dx.doi.org/10.3390/ma15186388
Descripción
Sumario:A major concern in the modern cement industry is considering how to minimize the CO(2) footprint. Thus, cements based on belite, an impure clinker mineral (CaO)(2)SiO(2) (C(2)S in cement chemistry notation), which forms at lower temperatures, is a promising solution to develop eco-efficient and sustainable cement-based materials, used in enormous quantities. The slow reactivity of belite plays a critical role, but the dissolution mechanisms and kinetic rates at the atomistic scale are not known completely yet. This work aims to understand the dissolution behavior of different facets of β-C(2)S providing missing input data and an upscaling modeling approach to connect the atomistic scale to the sub-micro scale. First, a combined ReaxFF and metadynamics-based molecular dynamic approach are applied to compute the atomistic forward reaction rates (R(D)) of calcium (Ca) and silicate species of (100) facet of β-C(2)S considering the influence of crystal facets and crystal defects. To minimize the huge number of atomistic events possibilities, a generalized approach is proposed, based on the systematic removal of nearest neighbors’ crystal sites. This enables us to tabulate data on the forward reaction rates of most important atomistic scenarios, which are needed as input parameters to implement the Kinetic Monte Carlo (KMC) computational upscaling approach. The reason for the higher reactivity of the (100) facet compared to the (010) is explained.