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Updated: Jan 13, 2026

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训练测试数据变化的影响 基于ML的GFRP强化高强度混凝土梁的偏移预测

Muhammet Karabulut1

  • 1Department of Civil Engineering, Zonguldak Bulent Ecevit University, 67100 Zonguldak, Türkiye.

Polymers
|January 10, 2026
PubMed
概括

具有80:20数据分割的K-最近邻居 (KNN) 模型准确地预测了玻璃纤维增强聚合物 (GFRP) 增强混凝土梁的偏移. 建议使用这种机器学习方法来估计这些结构成员的负载偏移行为.

关键词:
K-最近的邻居 (KNN)曲裂纹是一种曲裂纹.玻璃纤维增强聚合物 (GFRP) 条杆.机器学习 ML ML 机器学习钢筋混凝土梁 钢筋混凝土梁三点曲试验的三点曲试验

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