Fri, Oct 16, 2020 @ 03:00 PM - 04:00 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Talk Title: Automated Stratified Wake Classification
Abstract: There has been increasing interest in how and whether early wake information coming from body geometry and initial conditions can persist into a long-lived structure in a stratified fluid. As the wake evolves, the wake goes through various flow regimes mapped out in Re and Fr parameter space. In this talk, I will propose an automated pattern detection algorithm that classifies modes from Dynamic Mode Decomposition of a wake based on criterias set by the characteristics of each regime. Wake data from both experiment and simulation are explored to improve the robustness of this classifier, especially when the flow information is limited spatially and contaminated by noise.
Biography: Chris Ohh is a Ph.D. student under Dr. Spedding. Her research focuses on identifying traceable stratified wake signatures from various initial conditions. She earned both a B.S. and M.S. in Mechanical Engineering from USC.
Host: AME Department
More Info: https://usc.zoom.us/j/92144809085
Audiences: Everyone Is Invited
Contact: Christine Franks