Nonstructural Components and Systems
Perforated façade panels are often used on buildings for their functional role as shading devices and their aesthetic appeal. Designs vary from vertical or horizontal fins to perforated metal panels. When these panels are installed in wind-prone areas, air passing through perforations or skipping along them can generate unwanted noise. This is especially likely in applications on tall buildings, where panels are exposed to increased wind speeds at high elevations. Calculating the risk of unwanted noise requires analysis at multiple length and time scales to understand the airflow behavior of the entire building and of individual shading panels.
This research focuses on the factors that affect wind-induced noise from perforated façade panels and compares the results of numerical Computational Fluid Dynamics (CFD) simulations with measured data. The frequency and audibility are influenced by hole diameter, hole spacing, panel thickness, wind velocity, and wind angle of incidence. We performed parametric computational fluid dynamic (CFD) analysis of a perforated panel to calculate sound power levels. We used numerical simulations to train a machine learning algorithm to predict noise levels on a global building scale and we compared the results with field measurements.