ARC Seminar: Meng-Hsuan (Mark) Tien

Meng-Hsuan (Mark) Tien

Graduate Research Associate
College of Engineering
The Ohio State University

Nonlinear Modeling of Mistuned Bladed Disks in Turbomachinery

Location: ARC 100
Light refreshments served after.

Meng-Hsuan (Mark) Tien
Tien is currently a Ph.D. candidate within the Department of Mechanical and Aerospace Engineering at The Ohio State University. He obtained his B.S. degree from the Mechanical Engineering Department at National Central University and his M.S. degree from the Mechanical Engineering Department at National Taiwan University. Mark joined the Gas Turbine Laboratory (GTL) in 2015 and is working under the guidance of Prof. Kiran D'Souza. His work at the GTL focuses on developing efficient computational methods to analyze nonlinear systems with piecewise-linear nonlinearity. His broad research interests include fundamental nonlinear dynamics, reduced-order modeling & damage identification for complex structures, and vibration mitigation & energy harvesting devices.

Abstract
Efficient modeling is critical for the analysis and design of turbomachinery in the aerospace industry. A great deal of research has been devoted to the vibration analysis of bladed disks found in turbomachinery, but there are still many challenges such as their high dimension due to the complex geometry of modern industrial designs and nonlinearity. Several reduced-order modeling techniques that use cyclic symmetry and modal projections have been created for these systems. Although these methods are efficient for linear analyses, they are not able to capture the nonlinearity in turbomachinery due to friction damping and intermittent contact between component/crack surfaces. Friction damping is often used to dissipate unwanted vibrations in turbomachinery via shrouds, snubbers, underplatform dampers, or ring dampers, but their design is being limited by current computational efficiency. Also, damage identification and monitoring of these structures are computationally challenging due to the lack of nonlinear modeling capability. Furthermore, the coupling between mistuning and nonlinearities in bladed disks makes the analyses even more complicated. This talk will discuss the latest modeling techniques that account for mistuning and nonlinearities in turbomachinery. These new methods enable the construction and analyses of high-dimensional models by combining reduced-order modeling methods and hybrid symbolic-numeric computational processes. The influence of mistuning and intermittent contact behavior in turbomachinery will be presented. Future research directions will also be discussed.

Hosted by Dr. Kiran D'Souza, Department of Mechanical and Aerospace Engineering and Aerospace Research Center.