In wind-resistant design of structures, the calculation of wind coefficients is usually based on data from wind tunnel tests. The process is very time-consuming and expensive. In order to formulate a model to estimate wind force coefficients of rectangular buildings, various methods including regression analysis and artificial neural networks (ANNs) were investigated. This paper focuses on the presentation of the various approaches with emphasis on the detailed result comparisons and discussions of models developed for alongwind, acrosswind and tortional wind coefficient predictions.
Journal of Applied Science and Engineering 20(1), pp.55-62