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Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Rehan Sadiq, Muhammad Faisal Javed, Fahid Aslam and Rayed Alyousef
Supervised machine learning and its algorithm is an emerging trend for the prediction of mechanical properties of concrete. This study uses an ensemble random forest (RF) and gene expression programming (GEP) algorithm for the compressive strength predic...
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Muhammad Umair Saleem, Hisham Jahangir Qureshi, Muhammad Nasir Amin, Kaffayatullah Khan and Hassan Khurshid
This study provides the valuable data to assess the failure mechanism of CFRP strengthened reinforced concrete beams and structural systems.
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Muhammad Umair Saleem,Nauman Khurram,Muhammad Nasir Amin,Kaffayatullah Khan
Pág. 383 - 400
Current research work is aimed to numerically simulate the failure behavior of Fiber Reinforced Polymer (FRP) strengthened reinforced concrete beams having different FRP reinforcement ratios. Required objectives are achieved by performing a series of ben...
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