使用等级组合模型增强岩石的剪强预测
Xiaohua Ding1,2, Maryam Amiri3, Mahdi Hasanipanah4,5
1School of Mines, China University of Mining and Technology, Xuzhou, 221116, China.
Scientific reports
|August 31, 2024
概括
本研究引入了一种新的等级组合模型 (HEM),用于预测诸如凝聚力和摩擦角度等剪强度参数. 在地质技术和岩石力学应用中,HEM表现出卓越的准确性和概括能力.
科学领域:
- 地质技术工程 地质技术工程
- 岩石机械学 岩石机械学
- 材料科学 是一种材料科学.
背景情况:
- 切削强度 (SS) 参数对于材料行为分析至关重要.
- 传统模型在准确预测SS参数方面存在局限性.
研究的目的:
- 为预测凝聚力 (c) 和内部摩擦角度 (φ) 提出一种新的等级组合模型 (HEM).
- 解决SS参数预测现有机器学习模型的局限性.
主要方法:
- 开发并验证了一个层次集体模型 (HEM).
- 雇员一次性休假交叉验证 (LOOCV) 和外包 (OOB) 评估.
- 使用R2 (R2),AAREP,泰勒图和QQ图进行评估模型准确性.
主要成果:
- 在HEM中,凝聚力达到0.93的R2值,摩擦角为0.979.
- 凝聚力的AAREP值为4.7%,摩擦角度为1.96%.
- 该模型在同一数据集上进行的先前研究相比,显示出更高的性能.
结论:
- HEM显著提高了对凝聚力和摩擦角度的预测准确度和概括能力.
- 最大主应力 (σ_3max) 被确定为影响最大的参数.
- 在LOOCV和OOB方法中,凝聚力和摩擦角度的不确定性波段分别是最宽的.
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