Cyber-physical Optimization of Parapet Wall Height for a Low-rise Building Model

This experiment contains pressure measurements collected from boundary layer wind tunnel tests of a 1:18 low-rise building model. The building model has a parapet wall whose height was adjusted according to an overarching optimization algorithm. Independent optimization runs were conducted implementing one of three optimization algorithms.

First, a single-objective particle swarm optimization (SO-PSO) algorithm was implemented to independently test two optimization problems: one to minimize roof and parapet suction pressures, and one to minimize roof and parapet suction pressures incorporating a forgetting function. Second, a non-stochastic golden section search (GSS) algorithm was implemented to independently test two optimization problems to minimize the maximum magnitude of peak pressures on the roof and parapet surfaces: one considering suction only, and one considering both suction and positive pressure. Third, a multi-objective particle swarm optimization (MO-PSO) algorithm was implemented to minimize peak suction pressures on the roof and minimize peak building base shear. For all three optimization algorithms implemented, the model was evaluated at 45 and 90 degrees. The model was instrumented with 512 pressure taps. Pressure measurements were collected using a high-speed pressure scanner from Scanivalve. The data files are in .mat format.