2024
DOI: 10.3390/buildings14020427
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Machine Learning Prediction Model for Boundary Transverse Reinforcement of Shear Walls

Jiannan Ding,
Jianhui Li,
Congzhen Xiao
et al.

Abstract: Due to their roles as efficient lateral force-resisting systems, reinforced concrete shear walls exert a tremendous degree of influence on the overall seismic performance of buildings. The ability to predict the boundary transverse reinforcement of shear walls is critical to the seismic design process, as well as in the overall evaluation and retrofitting of existing buildings. Contemporary empirical models attain low predictive accuracy, with an inability to capture nonlinearity between boundary transverse re… Show more

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