Predicting mechanical properties of sustainable green concrete using novel machine learning: Stacking and gene expression programming

• Ashraf Muhammad Waqas,
• Khan Adnan,
• Tu Yongming,
• Wang Chao,
• Ben Kahla Nabil,
• Javed Muhammad Faisal,
• Ullah Safi,
• Tariq Jawad

Affiliations

Ashraf Muhammad Waqas

Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, National Engineering Research Center for Prestressing Technology, School of Civil Engineering, Southeast University, 211189, Nanjing, China

Khan Adnan

School of Transportation, Southeast University, Jiulonghu Campus, Jiangning District, Nanjing, Jiangsu, 211189, China

Tu Yongming

Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, National Engineering Research Center for Prestressing Technology, School of Civil Engineering, Southeast University, 211189, Nanjing, China

Wang Chao

Division of Structural and Fire Engineering, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, SE-97187, Luleå, Sweden

Ben Kahla Nabil

Department of Civil Engineering, College of Engineering, King Khalid University, PO Box 394, Abha, 61411, Saudi Arabia; Center for Engineering and Technology Innovations, King Khalid University, Abha, 61421, Saudi Arabia

Javed Muhammad Faisal

Department of Civil Engineering, COMSATS University Islamabad, Abbottabad Campus, Islamabad, Pakistan

Ullah Safi

Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, National Engineering Research Center for Prestressing Technology, School of Civil Engineering, Southeast University, 211189, Nanjing, China

Tariq Jawad

School of Civil Engineering, Henan University of Technology, Zhengzhou, Henan, 450001, China