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Proceedings Paper

Parametric study of laser scanner for breathing cracked rotor damage identification
Author(s): Jie Zhao; Hans DeSmidt
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Paper Abstract

Frequency Response Function (FRF) based damage detection method is utilized in this paper to identify the breathing cracks on a rotordynamic system in both frequency and time domain. The cracks are considered to be breathing during rotation due to the effect of gravity or imbalance mass. Zero-SIF (Stress Intensity Factor) method is employed to determine the crack closure line of open crack area. It is found that the stiffness reduction induced by a breathing crack is a function of both crack phase and rotation angle. The dynamical model of system is built based on the Lagrange principle and the assumed mode method while the crack model for periodically time-varying systems is based on the fracture mechanics. The steady-state equation of system is constructed via harmonic balance with a laser scanner as output sensor. The laser scanner enables the sufficient outputs from a single sensor by varying the scanning frequency or scanning function. Assuming a cosine function to approximate the nonlinear breathing behavior of cracks, the linear damage identification algorithms are established via Least Square and Newton Raphson methods. Finally, the dynamic response of a rotor system with nonlinear breathing cracks is simulated in time domain and the breathing cracks are successfully identified by developed damage detection algorithm.

Paper Details

Date Published: 8 March 2014
PDF: 9 pages
Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 906141 (8 March 2014); doi: 10.1117/12.2045243
Show Author Affiliations
Jie Zhao, The Univ. of Tennessee Knoxville (United States)
Hans DeSmidt, The Univ. of Tennessee Knoxville (United States)


Published in SPIE Proceedings Vol. 9061:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
Jerome P. Lynch; Kon-Well Wang; Hoon Sohn, Editor(s)

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