一个Python工具,使用SEM-BSE图像来确定围绕石颗粒的水合物层的厚度
Florian Kleiner1, Franz Becker2, Christiane Rößler1
1Chair of Building Materials, F. A. Finger-Institute for Building Material Science, Bauhaus-University Weimar, Weimar, Germany.
Journal of microscopy
|February 27, 2024
概括
一个新的软件工具可以自动测量围绕水泥粒的-酸盐-酸盐 (C-S-H) 层厚度. 这一进步有助于模拟水泥水化,测量C-S-H层在28天内从0.45μm增长到3.04μm.
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:
- 精确模拟水化水泥材料需要了解酸水合物 (C-S-H) 层在粒周围的生长.
- 手动测量C-S-H层厚度是不可靠的,因为在单个谷物和周围条件的显著变化.
研究的目的:
- 开发和介绍一个软件工具,用于自动化,统计测量C-S-H层厚度.
- 在可重现性和可行性方面克服手工测量的局限性.
主要方法:
- 开发一种软件工具,用于对石颗粒进行自动识别.
- 统计测量C-S-H层厚度,最低限度的手动干预用于值和参数设置 (例如颗粒大小,圆性).
- 该工具应用于长达28天的标本.
主要成果:
- 该软件成功地自动测量C-S-H层厚度.
- 观察到C-S-H层厚度显著增加,从1天的0.45微米增加到28天的3.04微米.
- 在较旧的标本中,由于孔隙空间减少和粒可用性,测量可行性受到限制.
结论:
- 开发的软件提供了一种可靠和可重复的方法来量化C-S-H层的增长.
- 这些发现量化了在早期水化水泥过程中C-S-H层的动态增长.
- 可能需要进一步的研究,以适应老化的水泥材料的方法.
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