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Modelling hydration process of cement nanoparticles by using an agent-based molecular formation algorithm.

机译:使用基于代理的分子形成算法对水泥纳米颗粒的水化过程进行建模。

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摘要

This paper presents an agent-based modelling approach for hydration process of Portland cement taking place at the nanoscale. By following a combination of stochastic, deterministic and adaptive rules, cement system is allowed to evolve from an anhydrous separated state to a bond state with enhanced mechanical properties. We consider the two main chemical reactions producing C-HS gel and portlandite, and identify the related anhydrous cement components as two autonomous agents, while water and hydration time are viewed as activator agents. The material representation consists of a geometrical configuration based on a two-dimensional granular fluid, which shows to be suitable when studying nanostructure formation. The resulting agent-based model is tested on a 103μm x 103μm thin film with 20μm thickness containing anhydrous cement. We evaluate the modelling approach after 7 days of hydration from comparison with experimental results, and agreement is good.
机译:本文提出了一种基于智能体的波特兰水泥水化过程的建模方法。通过遵循随机,确定性和自适应规则的组合,可以使水泥体系从无水分离态发展为具有增强机械性能的粘结态。我们考虑产生C-HS凝胶和硅酸盐的两个主要化学反应,并确定相关的无水水泥组分为两种自治剂,而水和水合时间被视为活化剂。材料表示由基于二维颗粒流体的几何构型组成,这在研究纳米结构形成时显示是合适的。在包含20μm厚度的103μmx103μm薄膜上测试了基于代理的模型,该薄膜包含无水水泥。通过与实验结果的比较,我们对水合7天后的建模方法进行了评估,一致性很好。

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