Algoritmos de punto de cambio aplicados a la detección de estructuras vorticosas en flujos turbulentos

Abstract

The present work shows the application of a change point model (CPM) algorithm, based on non-parametric tests, to turbulent structures detection in an airflow. It seeks to detect the vortices generated in the wake of an airfoil, equipped with a passive flow control device (Gurney mini flap) in its trailing edge. By applying CPM models to the sample data, this paper seeks to determine the possible changes to the velocity fluctuations and compare the model's effectiveness to traditional methods.The main objective of this study is to detect the characteristic frequencies of the turbulent structures immersed in the airflow.The results show that the CPM methodology, based on the Cramer- von Mises (CPM-CvM) test, produces results that coincide with values predicted by traditional methods (less than 9.5% of mismatch), validating its use as a real time alternative tool for the analysis of these types of flows.Finally, this work shows a new application of CPM for detecting changes in a time-dependent random signal, which has an a priori unknown distribution.