Data-Driven Nonlinear Stability Analysis in Aeroelastic Systems

Amin Ghadami, PhD
Research Assistant Professor
University of Southern California

Abstract
The next generation of aircraft are evolving towards higher-efficiency, lighter-weight, and slenderer configurations, which are very flexible. Increased flexibility results in diverse nonlinear response phenomena, making the system susceptible to unexpected instabilities. Consequently, nonlinear flutter analysis is essential for ensuring the safety and performance in nonlinear aeroelastic systems. Performing nonlinear stability analysis in large-dimensional aeroelastic systems is, however, a challenging and computationally demanding task when relying on traditional approaches. In this talk, I will introduce novel data-driven techniques for non-intrusive nonlinear reduced order modeling and flutter analysis in aeroelastic systems. I will demonstrate that the use of invariants of nonlinear stability analysis techniques in dynamical systems in combination with data-driven methods enables us to perform nonlinear flutter analysis and prediction, eliminating the need for laborious analytical and computational processes. The application of this approach to a wide range of aeroelastic systems, including models of highly flexible wings as well as experimental aeroelastic systems prone to nonlinear flutter instabilities will be demonstrated.
 

Biography
Amin Ghadami is a Research Assistant Professor in the Departments of Aerospace and Mechanical Engineering and Civil and Environmental Engineering at the University of Southern California. He received his Ph.D. in mechanical engineering in 2019, followed by a postdoctoral position at the University of Michigan-Ann Arbor from 2019 to 2022. His research is at the intersection of nonlinear dynamics, data-driven analysis, and scientific computing with application in mechanical and aerospace systems and structures. He was named a Rising Star in Mechanical Engineering in 2020 and is the recipient of the University of Michigan Ivor K. McIvor Award for demonstrating excellence in research and scholarship in applied mechanics. He is a member of the Technical Committee of Multibody Systems, Nonlinear Dynamics, and Control as well as the Technical Committee of Dynamics and Control of Systems and Structures within American Society of Mechanical Engineers (ASME).