使.

Muhammad Faisal Javed1, Muhammad Fawad2,3, Rida Lodhi4

  • 1Department of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi, 23640, Pakistan. arbabfaisal@cuiatd.edu.pk.

Scientific reports
|April 10, 2024
PubMed
概括

这项研究使用机器学习增强了预先放置的聚合混凝土 (PAC) 压力强度预测. XGBoost模型实现了高精度,识别了石,水与粘合剂的比率和超级塑化剂作为关键影响因素.

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