Abstract Modeling of the complex interlinked chemical reactions involved in the hydration process of slag-blended cement is rather challenging, in particular since accurate prediction of the hydration kinetics of clinker and slag hydration, respectively, is still out of reach. To overcome this challenge, we propose a hybrid modeling approach based on calorimetry measurements combined with state-of-the-art hydration models. The model features intrinsic C-(A)-S-H nanoparticles related to clinker and slag hydration, respectively, with precipitation space-dependent densities of the corresponding gel phases. Successful validation against published experimental data, obtained on 54 different mixes in 7 different laboratories, proves the model's applicability and corroborates that C-(A)-S-H gel densifies progressively during hydration, that portlandite consumption upon slag reaction is caused by the precipitation of calcium-aluminate hydrates and that the ultimate heat of slag depends significantly on its chemical composition.

中文翻译：

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基于量热法测量的经验证的矿渣混合水泥水化模型

摘要 矿渣混合水泥水化过程中复杂的相互关联的化学反应的建模相当具有挑战性，特别是因为分别准确预测熟料和矿渣水化的水化动力学仍然遥不可及。为了克服这一挑战，我们提出了一种基于量热测量与最先进的水合模型相结合的混合建模方法。该模型具有分别与熟料和炉渣水化相关的固有 C-(A)-SH 纳米粒子，以及相应凝胶相的沉淀空间相关密度。在 7 个不同实验室的 54 种不同混合物中获得的已发表实验数据的成功验证，证明了该模型的适用性，并证实了 C-(A)-SH 凝胶在水合作用过程中逐渐致密化，