Abstract
A coupled Shear Wall is a unified system consisting of the connection of two individual shear walls with a connecting beam (coupling beam). The coupling beam plays an important role in the lateral load resistance of the coupled shear wall structure. This paper addresses the innovative approach to optimizing coupling beam dimensions by introducing data in machine learning. The data are collected through ETABS modelling of encompassing buildings of varying heights, i.e., 15, 20, 25, 30 stories, with and without shear walls, and coupled shear walls with coupling beams of different lengths, i.e., 1 m, 1.5m, and 2m, and different depths, i.e., 1.5m, 1.25m, 1 m, 0.8m, and 0.75m which is analysed by keeping the end to end distance of both shear wall and shear wall with coupled beam in order to make it economical. The parameters considered include displacement, drift, reinforcement quantity, and concrete volume collected through ETABS. A total of 68 models were analyzed. Analysis made through that, in all of the storey except in 30 storey the shear wall with coupling beam dimension, length of 2 m and depth of 1.25 m is most optimum model and in the case of 30 storey optimized model changes, the coupling beam with a length of 1.5 m and depth of 1.25 m perform best. On increasing storey, it can be deduced that coupled shear wall performs much better. Furthermore, the machine learning-trained model will provide the optimum dimension of the coupling beam if storey height is provided.