Intentionally mistuned piezoelectric networks for the enhancement of bladed disk structures

Ryan C. Struzik; K. W. Wang

doi:10.1117/12.815813

30 March 2009 Intentionally mistuned piezoelectric networks for the enhancement of bladed disk structures

Ryan C. Struzik, K. W. Wang

Proceedings Volume 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009; 72921A (2009) https://doi.org/10.1117/12.815813
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

Damage detection in engine bladed disks is an extremely important task. While current ultrasonic and eddy current damage detection techniques are reliable, they are also expensive in cost and cannot be used for in-situ monitoring. Although global vibration-based damage detection techniques can overcome these challenges, they may not be accurate due to its low sensitivity to damage. On the other hand, for a periodic structure such as the bladed disk, due to its unique dynamic characteristics, there is great potential in utilizing a vibration-response-based concept to effectively and accurately detect damage. The goal of this research is to advance the state-of-the-art of damage detection of bladed disks by exploring a piezoelectric circuitry network design methodology to enhance the structural vibration damage sensitivity, particularly through the introduction of intentional circuitry mistuning. Additionally, this research aims to investigate intentional circuitry mistuning as an alternative to intentional blade mistuning for forced response localization reduction so that a single design configuration can be adapted to both applications. The effectiveness of the network on inherently mistuned bladed disks is explored using Monte Carlo simulations, where promising results are illustrated.

Citation Download Citation

Ryan C. Struzik and K. W. Wang "Intentionally mistuned piezoelectric networks for the enhancement of bladed disk structures", Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 72921A (30 March 2009); https://doi.org/10.1117/12.815813

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