Synthetic C-S-H/PCE nanocomposites are outstanding seeding additives to promote the early performances of Portland cement. For an extensive application of the seeding material, it is essential to understand the fundamentals of hydration, microstructure, and early strength of cement with the nanocomposites. In this study, the hydration process and microstructural evolution of cement pastes containing hydrothermal synthesized C-S-H/PCE were quantitatively analyzed by 1H low-field nuclear magnetic resonance and backscattered electron microscopy. The critical roles of the C-S-H/PCE during the dissolution of clinker, nucleation and growth of hydration products, and microstructural development of pastes were identified. Well-trained artificial neural networks (ANN) were employed to predict the early strength of pastes from synthesis parameters of C-S-H/PCE. Satisfactory predictions were obtained that the ANN modeling provides effective guidelines to tune C-S-H/PCE properties and early strength of cement.

中文翻译：

---

深入了解含有合成 C-S-H/PCE 纳米复合材料的波特兰水泥的水化动力学、微观结构和早期强度


合成 C-S-H/PCE 纳米复合材料是促进波特兰水泥早期性能的出色晶种添加剂。为了广泛应用晶种材料，必须了解纳米复合材料的水化基础、微观结构和水泥的早期强度。本研究采用 1H 低场核磁共振和背散射电子显微镜定量分析了含水热合成 C-S-H/PCE 的水泥浆体的水化过程和微观结构演变。确定了 C-S-H/PCE 在熟料溶解、水化产物成核和生长以及糊状物微观结构发展过程中的关键作用。采用训练有素的人工神经网络 （ANN） 根据 C-S-H/PCE 的合成参数预测浆料的早期强度。获得了令人满意的预测，即 ANN 模型为调整 C-S-H/PCE 特性和水泥的早期强度提供了有效的指导。