Dynamic along wind response of tall buildings using Artificial Neural Network

Abstract

This paper proposes a simplified approach for estimating the dynamic along-wind response of tall buildings using Artificial Neural Network (ANN). Tall buildings are usually slender and are sensitive to lateral drift due to the wind load. The wind load on such buildings can be calculated using wind load code for some specific H:b:d ratios of the building. However, the wind loads for building dimensions ratios not specified in the code, are estimated by wind tunnel testing. These tests are more expensive in terms of valuable resources, time and cost. In the present study, ANN models are developed for predicting the dynamic along-wind response in terms of base shear and base bending moment based on Indian Wind Code IS 875 (Part -3):2015 (IWC). The predictions made by the developed ANN models have shown good agreement with the desired output. Finally, the paper proposes a series of charts for predicting dynamic along wind response of the building for few configurations which are not included in IWC.