Research Experience for Undergraduates (REU), NHERI 2022: Prediction of Peak Pressure Coefficients Using Higher Order Statistics with Machine Learning

This research investigates the prediction of pressure coefficients based on different approach terrain configurations. Machine learning was used to develop an Artificial Neural Network to model these relationships. The data from this project may be used to investigate other relationships that correlate to pressure coefficients. The work conducted in this study is the first of its kind to model the relationship between terrain configurations and pressure coefficients, which will eventually allow the replication of endless testing conditions. The audience of this project is engineers in the field of wind tunnel testing and those who are involved in determining design codes based on wind loads.