A smart façade system controller for optimized wind-induced vibration mitigation in tall buildings

Wind-induced vibration (WIV) of tall buildings is a major cause occupant discomfort and potential fatigue damage. Catastrophic failure may also take place at wind speeds that are lower than the design values due to phenomena such as vortex shedding or flutter-induced instabilities. This paper presents data-driven adaptive control strategy continuously seeks minimize WIV for given average flow condition by independently adjusting angular orientation an active façade system composed set plates. The controller utilizes Genetic Algorithm (GA) optimization determine plate angles time-averaged amplitudes altering aerodynamics building. GA assisted two artificial neural networks (ANNs). A predictor ANN acts regression model estimates dynamics. An optimizer allows quickly recall what angle combination use condition. 2D fluid-structure-interaction (FSI) used simulate steady-state response building conditions combinations. validated comparing published data. Initial results show were reduced up 94% upon enabling proposed smart controller.