一个基于分数灰色预测模型的多指数评估系统,用于暴露于长期水损害的陶-青混合物
Yanxia Cai1,2,3, Jiaming Zhao1, Chenchen Li4,5
1School of Civil Engineering, Hebei University of Engineering, Handan, Hebei, China.
PloS one
|July 10, 2025
概括
这项研究改善了石青混合物.
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:
- 塔夫青混合物对水损害具有很高的易感性,因此需要方法来提高其长期性能.
- 在多个指标上评估损坏后的性能对于评估改善水稳定性的技术至关重要.
研究的目的:
- 使用水泥和抗剥离剂来增强塔夫青混合物的长期水稳定性.
- 综合评估这些添加剂在长时间暴露在水中对混合物性能的影响.
- 开发长期行为预测模型和整体绩效评估框架.
主要方法:
- 将水泥和抗剥离剂纳入图夫青混合物中.
- 长时间暴露在水中进行性能评估.
- 分数灰色预测模型 (FGM) 的应用用于长期行为预测.
- 开发一个全面的评估框架,使用加权平均和相对评分.
主要成果:
- 混凝土和抗剥离剂都显著提高了石混合物的水稳定性.
- 水损伤增加了粘性成分,降低了弹性回收,从而降低了高温腐蚀阻力.
- 分数灰色预测模型表现出高准确度,预测误差低于3%.
结论:
- 这项研究成功地提高了青混合物的水稳定性.
- 开发的评估系统为工程中的整体性能评估和材料选择提供了实际参考.
- 添加剂有效地减轻了水损害对青混合物的负面影响.
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