Session: 30-12 Reduced Order Modeling

Paper Number: 85316

85316 - Tutorial: Reduced Order Modeling and Identification of Mistuned Bladed Disks 

Mistuning, or variability in sector-to-sector properties of bladed disks and blisks, affects profoundly the dynamics of these systems. Such deviations are impossible to avoid, and are caused by material or geometric differences due to wear, manufacturing tolerances, and operation conditions. Several methods have been developed to model mistuned dynamics with the goal of predicting the possible strain localization and higher system responses that shorten the operational like of such systems. These models are referred to as reduced order models (ROMs), which aim to provide response predictions with much increased computational speed compared to high-fidelity finite element models of full order. Obtaining such fast and accurate ROMs for mistuned systems remains a challenge especially when nonlinearities such as friction are present. In addition, ROMs require quantitative knowledge of mistuning, which has to be identified when analyzing as-manufactured blisks. Such identification continues to be a challenge for systems with friction. This tutorial will present the state-of-the art, ideas and techniques to identify mistuning and to create linear and nonlinear ROMs needed in probabilistic analysis of mistuned dynamics. Techniques from traditional structural dynamics as well as emerging data-driven approaches will be discussed. Knowledge of dynamics is assumed, but no prior specific knowledge regarding data-driven methods, mistuning, or ROMs is needed.

Presenting Author: Bogdan Epureanu Univ Of Michigan

Presenting Author Biography: Bogdan I. Epureanu is an Arthur F. Thurnau Professor in the Department of Mechanical Engineering at the University of Michigan and has a courtesy appointment in Electrical Engineering and Computer Science. He received his Ph.D. from Duke University in 1999. <br/><br/>He is the Director of the Automotive Research Center, which leads the way in areas of autonomy of ground systems, including vehicle dynamics, control, and autonomous behavior, human-autonomy teaming, high performance structures and materials, intelligent power systems, and fleet operations and vehicle system of systems integration. <br/><br/>His research focuses on nonlinear dynamics of complex systems, such as teaming of autonomous vehicles, enhanced aircraft safety and performance, early detection of neurodegenerative diseases, forecasting tipping points in engineered and physical systems such as disease epidemics and ecology. His research brings together interdisciplinary teams and consortia such as Government (NIH, NSF, DOE, DOD), Industry (Ford, Pratt &amp; Whitney, GE, Airbus), and Academia. He has published over 350 articles in journals, conferences, and books.

Authors:

Bogdan Epureanu Univ Of Michigan
Sean Kelly University of Michigan - Ann Arbor