TY - JOUR
T1 - Fatigue damage detection and growth monitoring for composite structure using coda wave interferometry
AU - Lim, Hyung Jin
AU - Lee, Hyunseong
AU - Skinner, Travis
AU - Chattopadhyay, Aditi
AU - Hall, Asha
N1 - Funding Information:
Research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement W911NF‐17‐2‐0207. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.
Publisher Copyright:
© 2020 John Wiley & Sons, Ltd.
PY - 2021/3
Y1 - 2021/3
N2 - This paper presents the development of a fatigue damage detection and growth monitoring technique based on coda wave interferometry (CWI) for composite structures. The time domain distortion (TD) component of coda waves, which is typically ignored as noise in the literature, is used and experimentally validated. First, a widely used signal processing method for CWI called the stretching method is applied, and TD component is extracted in the time domain. Next, threshold values are statistically estimated using noise levels of the signal and compared with the amplitude of TD component for detecting early-stage fatigue damage. A damage index (DI) is then obtained from TD component and used to monitor fatigue damage growth. The experimental results of the damage detection and growth monitoring are validated through visual inspection during the fatigue test. Finally, the developed technique's performance is evaluated by comparing it to conventional ultrasonic and CWI-based composite fatigue damage assessment methods. The uniqueness of this study lies in (1) detection and growth monitoring of the early-stage composite fatigue damage, (2) extraction and use of TD component of CWI and investigation of the correlation with the damage existence and growth, and (3) experimental validation and performance examination by comparing with the conventional ultrasonic and CWI-based composite fatigue damage assessment methods.
AB - This paper presents the development of a fatigue damage detection and growth monitoring technique based on coda wave interferometry (CWI) for composite structures. The time domain distortion (TD) component of coda waves, which is typically ignored as noise in the literature, is used and experimentally validated. First, a widely used signal processing method for CWI called the stretching method is applied, and TD component is extracted in the time domain. Next, threshold values are statistically estimated using noise levels of the signal and compared with the amplitude of TD component for detecting early-stage fatigue damage. A damage index (DI) is then obtained from TD component and used to monitor fatigue damage growth. The experimental results of the damage detection and growth monitoring are validated through visual inspection during the fatigue test. Finally, the developed technique's performance is evaluated by comparing it to conventional ultrasonic and CWI-based composite fatigue damage assessment methods. The uniqueness of this study lies in (1) detection and growth monitoring of the early-stage composite fatigue damage, (2) extraction and use of TD component of CWI and investigation of the correlation with the damage existence and growth, and (3) experimental validation and performance examination by comparing with the conventional ultrasonic and CWI-based composite fatigue damage assessment methods.
KW - PZT transducers
KW - coda wave interferometry
KW - composites
KW - fatigue damage assessment
KW - structural health monitoring
KW - ultrasonic guided waves
UR - http://www.scopus.com/inward/record.url?scp=85098155637&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098155637&partnerID=8YFLogxK
U2 - 10.1002/stc.2689
DO - 10.1002/stc.2689
M3 - Article
AN - SCOPUS:85098155637
SN - 1545-2255
VL - 28
JO - Structural Control and Health Monitoring
JF - Structural Control and Health Monitoring
IS - 3
M1 - e2689
ER -