从CT图像中通过细分无水化水泥来量化CT图像的总孔度:一个基于模型的框架,集成POWERS的体积模型
Haoran Liu1, Eryu Zhu1, Min Ji1
1School of Civil Engineering, Beijing Jiao Tong University, Beijing 100044, China.
Materials (Basel, Switzerland)
|February 27, 2026
概括
这项研究引入了一种新方法,将X射线计算机断层扫描 (CT) 与水化模型相结合,以准确量化水泥的总孔状性. 这种方法可以可靠地预测基于水泥的材料性能.
科学领域:
- 材料科学 材料科学 材料科学
- 土木工程 土木工程是指土木工程.
- 化学工程是化学工程的重要组成部分.
背景情况:
- 准确量化包括纳米级毛孔在内的总毛孔度对于预测基于水泥的材料性能至关重要.
- 射线计算机断层扫描 (CT) 提供非破坏性分析,但在大型样本中面临纳米尺度孔隙检测的分辨率限制.
- 现有的方法很难弥合微观结构细节和宏观材料特性之间的差距.
研究的目的:
- 开发和验证一种基于模型的新型框架,用于量化基于水泥的材料的总孔度.
- 为了克服微CT在纳米尺度孔隙分析中的分辨率-体积权衡限制.
- 将经典的水合模型与微CT数据相结合,以增强微观结构特征.
主要方法:
- 普华斯的水分模型与微型CT分析的整合.
- 从微米级无水化水泥阶段的体积分数推导出总孔隙度,绕过纳米级分辨率要求.
- 通过与已确立的孔隙度-强度关系的相关性分析进行验证.
主要成果:
- 观察到CT衍生的全孔度与已确定的孔度-强度关系之间存在强烈的相关性.
- 水泥糊的毛孔总量从36.5%增加到60.3%,W/C比率从0.4增加到0.7.
- 实验室强度数据显示,与四种多孔度强度预测模型有很高的相关性 (R2>0.98).
结论:
- 拟议的框架成功地使用微CT和水化建模量化了水泥的总孔度.
- 尔斯体积模型对于基于CT的水泥材料分析是可行的.
- 这项工作将微CT从定性转变为用于水泥材料表征的定量工具.
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