量化调查和智能预测改红色粘土的导热率
Hongqi Wang1, Dongwei Li2, Zecheng Wang1
1School of Civil and Architectural Engineering, East China University of Technology, NanChang, China.
PloS one
|October 10, 2024
概括
这项研究探讨了水含量,干燥密度和冷解周期如何影响稳定石灰红色粘土的导热率. 一个先进的组合模型准确地预测了这些变化,这对于在寒冷的气候下进行工程至关重要.
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:
- 红色粘土是一种常见的土壤类型,但其高水分敏感性带来了工程挑战.
- 了解土壤热导率对于分析土壤温度场至关重要,特别是在极端气候的地区,如大连.
- 石灰稳定是一种用于改善土壤性能的技术,但它在不同条件下对导热率的影响需要详细研究.
研究的目的:
- 为了研究含水量,干燥密度和冷解周期对石灰稳定红色粘土的导热率的影响.
- 开发和验证经验和机器学习模型,用于预测这种稳定土壤的导热率.
- 为具有相似气候条件和土壤类型的地区的工程应用提供见解.
主要方法:
- 系统的实验室测试以测量受控制的水含量,干密度和冷解周期 (-10°C) 下的导热率.
- 开发经验和机器学习预测模型,包括BP神经网络,梯度增强决策树和线性回归.
- 用RMSE和MAPE指标对单个机器学习模型与拟议的组合模型进行比较分析和验证.
主要成果:
- 导热率随着含水量和干燥密度的增加而呈指数或线性增加.
- 导热率随着越来越多的冷-解周期而呈指数级下降.
- 与单个模型相比,整体预测模型表现出更高的准确性 (RMSE <0.05,MAPE <2.5%),外部数据证实了强大的概括能力.
结论:
- 含水量,干燥密度和冷解周期显著影响稳定红色粘土的导热率.
- 开发的整体机器学习模型提供了一个可靠的工具,用于预测冷和未冷状态下的导热率.
- 这些发现对于大连和其他面临类似环境挑战的地区的地质工程项目至关重要.
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