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Shear Strength Prediction for RC Walls by lucasamericogarcia is a document available to read on EtoBox.

This study presents a hybrid model combining artificial neural networks (ANN) and particle swarm optimization (PSO) to predict the shear strength of squat reinforced concrete (RC) walls, which are critical for seismic safety. Utilizing a dataset of 139 test results, the proposed ANN-PSO model demonstrates superior accuracy compared to traditional prediction methods. The research highlights the importance of various parameters, such as compressive strength and reinforcement ratios, in influencing the shear c

Author

lucasamericogarcia

Language

EN