在使用寿命期间,通过采用混合进化多项式回归和多基因遗传编程来解决青混凝土空气空隙的配方
Ali Reza Ghanizadeh1, Amir Tavana Amlashi2, Alireza Bahrami3
1Department of Civil Engineering, Sirjan University of Technology, Sirjan, Iran. ghanizadeh@sirjantech.ac.ir.
Scientific reports
|June 10, 2024
概括
这项研究模拟了青混凝土空气空隙 (VA) 随时间的变化. 混合进化多项式回归与基于教学优化 (EPR-TLBO) 的混合进化多项式回归准确预测VA,改善路面使用寿命预测.
科学领域:
- 土木工程 土木工程是指土木工程.
- 材料科学 材料科学 材料科学
- 铺路工程工程 铺路工程
背景情况:
- 青混凝土包括青,聚合物和空气空隙 (VA).
- 空气空隙含量因交通,环境,压缩和混合设计而动态变化.
- 预测VA对于确保路面质量和防止过早故障,如路,至关重要.
研究的目的:
- 开发一款预测模型,用于青混合物的空气空隙 (VA) 百分比在其整个使用寿命.
- 将混合进化多项式回归 (EPR) 与基于教学优化 (TLBO) 与多基因遗传编程 (MGGP) 和现有实证模型的有效性进行比较.
主要方法:
- 使用混合EPR-TLBO算法进行VA预测.
- 从现有文献中收集和分析了324个数据记录.
- 输入变量包括初始VA,年平均空气温度,粘度和时间.
主要成果:
- EPR-TLBO模型表现出卓越的性能,绝对误差的四分位数间范围为0.67%.
- 在训练和测试阶段都达到超过0.90的R平方值.
- 灵敏度分析发现初始VA是最重要的因素,而时间是最不重要的因素.
结论:
- EPR-TLBO模型提供了一个非常准确的方法来预测随时间推移的青空气空隙含量.
- 路面的最佳使用寿命可以达到0.3Mega-Poises的粘度和6%以上的VA.
- 更高的温度显著降低了青混凝土的可用性.
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