Highly Sensitive and Robust Damage Detection of Periodic Structures with Piezoelectric Networking
Abstract
Damage detection in engine bladed disks is often performed through ultrasonic and eddy current techniques that are reliable, but expensive and lack in-situ monitoring capability. Alternatively, vibration-based damage detection methods are relatively inexpensive, have real-time in-situ potential, but are generally inaccurate due to low sensitivity. The goal of this research is to advance the state-of-the-art of vibration-based damage detection of bladed disks by utilizing the unique vibration localization characteristics of such periodic structures to enhance damage detection sensitivity and robustness through piezoelectric circuitry networking. In this research, we have explored an innovative piezoelectric circuitry networking methodology that can temporarily amplify the damage effect on the system vibratory signature during the inspection stage. Methods for network parameter synthesis to maximize sensitivity have been established. Fundamental understandings of vibration energy propagation/distribution in bladed disks without and with piezoelectric circuitry are pursued. Monte Carlo simulations are performed to evaluate the network's effectiveness. Multivariate statistical analysis tools are synthesized that can quantify the detection performance enhancement under noise/variances.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2008
- Accession Number
- ADA495424
Entities
People
- Jiong Tang
- Kon-Well Wang
Organizations
- Pennsylvania State University