动态断裂强度预测HPFRC使用特征加权线性合并方法
Xin Cai1,2, Yunmin Wang1,2, Yihan Zhao3
1Sinosteel Maanshan General Institute of Mining Research Co., Ltd., Maanshan 243000, China.
Materials (Basel, Switzerland)
|September 13, 2025
概括
一个新的特征加权线性组合 (FWL) 模型准确地预测了高性能纤维增强混凝土 (HPFRC) 的动态断裂强度. 这种方法克服了现有技术的局限性,在极端条件下为HPFRC提供了高精度和可解释性.
科学领域:
- 材料科学与工程 材料科学与工程
- 土木工程 土木工程是指土木工程.
- 计算力学 计算力学 计算力学
背景情况:
- 高性能纤维增强混凝土 (HPFRC) 对于承受极端负荷的结构至关重要,因为它的耐用性和抗裂性.
- 测量HPFRC动态断裂强度的现有方法昂贵,缺乏标准化的协议.
- 当前的数据驱动模型往往无法平衡预测准确性与物理解释性.
研究的目的:
- 开发一种高度准确和可解释的方法,用于预测高应变率下HPFRC的Mode I动态断裂强度.
- 为了解决HPFRC骨折行为分析当前实验和计算方法的局限性.
主要方法:
- 构建一个包含161组HPFRC高应变率测试数据的综合数据库.
- 使用相关性分析和基于错误的特征选择识别关键建模变量.
- 使用六个基本机器学习算法 (KNN,RF,SVR,LGBM,XGBoost,MLPNN) 开发和比较组合模型 (特征加权线性组合 - FWL,投票).
- 应用SHAP和LIME用于全球和本地模型解释性分析.
主要成果:
- 在测试组中,FWL模型取得了优异的预测性能 (R2 = 0.908,RMSE = 2.632),优于单个模型和投票组合.
- 应变速率和纤维体积分数被确定为影响动态骨折强度的主导因素.
- 应变速率在不同范围内表现出高度非线性反应机制,影响HPFRC骨折行为.
结论:
- 开发的基于FWL的预测框架为HPFRC动态断裂强度提供了强大,准确和可解释的方法.
- 这种综合方法为在高应变率条件下的HPFRC断裂机制提供了宝贵的见解.
- 该研究提出了一种新且有效的解决方案,用于预测HPFRC的复杂骨折行为.
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