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钢渣增强水泥稳定循环聚合物的基础:机械性能和基于PINN的硫酸盐扩散预测
Guodong Zeng1, Hao Li1, Yuyuan Deng2
1Foshan Transportation Science and Technology Co., Ltd., Foshan 528041, China.
Materials (Basel, Switzerland)
|February 13, 2026
概括
钢渣聚合物 (SSA) 增强了路面基层的水泥稳定循环聚合物 (CSR),提高了机械强度和硫酸盐耐受性. 一个基于物理学的神经网络 (PINN) 模型准确地预测了这些改进材料中的硫酸盐扩散.
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.
- 地质技术工程 地质技术工程
背景情况:
- 水泥稳定循环聚合物 (CSR) 在路面基础上存在局限性,原因是循环聚合物 (RA) 的高孔隙性和低强度.
- 关于CSR中硫酸盐运输和耐久性机制的数据有限,这阻碍了其广泛应用.
- 钢渣聚合物 (SSA) 具有高强度和潜在的反应性,使其成为改善企业社会责任的候选者.
研究的目的:
- 开发和评估用于路面应用的钢渣增强水泥稳定循环聚合物 (CSRS).
- 调查CSRS.的机械性能和耐用性,特别是硫酸盐耐受性.
- 开发一个基于物理学的神经网络 (PINN) 模型,用于预测CSRS中的硫酸盐扩散.
主要方法:
- 机械性能使用无限制压力强度 (UCS) 和间接拉伸强度 (ITS) 测试进行了评估.
- 耐用性通过热收缩和硫酸盐耐受性测试来评估.
- 使用物理信息神经网络 (PINN) 开发了一种硫酸盐预测模型.
主要成果:
- 与CSR相比,CSRS显示7天 (6.7%) 和28天 (16.0%) 的UCS和ITS (4.3%-5.9%) 的增加.
- CSRS表现出改善的硫酸盐耐药性,硫酸盐耐药系数增加了18.8%.
- PINN模型准确地预测了CSRS中降低的硫酸盐度,平均相对误差低于14%.
结论:
- 加入SSA显著提高了CSR的机械性能和硫酸盐耐受性.
- CSRS是路面基板的一个有前途的材料,提供了更好的性能和耐用性.
- 开发的PINN模型是模拟和预测路面材料中硫酸盐扩散的可靠工具.
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