对长期老化的GGBFS和FA混凝土考虑化物入的耐久性性能的评估以及使用机器学习算法分析混凝土混合物特性和传递电荷之间的关系
Yong-Sik Yoon1, Seung-Jun Kwon2, Kyong-Chul Kim1
1Korea Peninsula Infrastructure Special Committee, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of Korea.
Materials (Basel, Switzerland)
|December 9, 2023
概括
使用磨砂颗粒高炉渣 (GGBFS) 和飞灰 (FA) 的较旧混凝土显示离子透性降低. 随着年龄的增加和特定的混合设计,这些先进的混凝土类型的化物通道显著减少.
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.
- 混凝土技术 混凝土技术
背景情况:
- 通常的波特兰水泥 (OPC) 混凝土的耐用性通常受到化物入的限制.
- 补充的水泥材料,如磨砂颗粒高炉渣 (GGBFS) 和飞灰 (FA),可以提高混凝土的性能.
- 了解年龄和混合物设计对透性的长期影响,对于可持续的基础设施至关重要.
研究的目的:
- 为了评估老化OPC,GGBFS和FA混凝土的长期离子透性.
- 量化年龄,水结合比率和补充水泥材料含量对化物通道的影响.
- 通过回归和机器学习模型分析混合物特性,年龄和透度之间的相关性.
主要方法:
- 在12个年龄为4-6年的混凝土混合物上进行了加速化物扩散试验 (ASTM-C-1202).
- 研究了各种水结合剂 (W/B) 比率 (0.37-0.47) 和 GGBFS (0-50%) 和 FA (0-30%) 替换水平.
- 使用重复回归分析和机器学习模型 (线性,拉索,) 来分析数据.
主要成果:
- 随着混凝土年龄的增加,观察到传递电荷 (透率) 的显著减少,特别是在GGBFS和FA混凝土中.
- 在GGBFS和FA混凝土中,较高的W/B比率与更大的依赖年龄的化物通道减少相关.
- 机器学习模型表明压力强度,混合物特性,年龄和化物透性之间存在强烈的相关性.
结论:
- 长期老化大大提高了含有GGBFS和FA的混凝土中的化物耐药性.
- 在这些混合水泥中,W/B比在与年龄相关的化物透率的改善中起着关键作用.
- 机器学习提供了一个强大的工具,可以根据混凝土混合物的特性和年龄来预测化物进入的耐用性.
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