基于物理性质参数的亚级细粒度土壤动态弹性模量预测模型的研究
Scientific reports
|May 21, 2025
概括
这项研究研究了影响高速公路下层土壤动态弹性模量 (Mr) 的因素. 一个新的预测模型,考虑到土壤属性,显著提高了准确性比一般模型.
科学领域:
- 地质技术工程 地质技术工程
- 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
背景情况:
- 动态弹性模量 (Mr) 对高速公路次级性能至关重要.
- 了解影响Mr的因素对于准确的路面设计至关重要.
研究的目的:
- 调查各种因素对细粒度下层土壤的动态弹性模量 (Mr) 的影响.
- 根据物理性质,开发出基于Mr的改进预测模型.
主要方法:
- 动态三轴测试在不同含水量和压缩度的土壤样本上进行.
- 相关性分析发现了影响Mr.的重要因素.
- 人工神经网络和遗传算法被用来建立参数关系.
- 开发了一种新的预测模型,并与一般模型进行比较.
主要成果:
- Mr在非线性下降,减少动态偏差应力和水分含量.
- Mr随着更高的限制压力和压缩度而增加.
- 湿度含量,干燥密度,可塑性指数和细颗粒含量显示出与Mr.最强的相关性.
- 拟议的模型实现了平均预测误差为5.74%.
结论:
- 该研究确定了影响高速公路下层土壤动态弹性模块的关键物理特性.
- 开发的预测模型为Mr估计提供了更高的准确性.
- 针对性的动态弹性模块测试对于特定的高速公路次级工程非常有价值.
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