Research interests in structural health monitoring have increased due to in-situ monitoring of structural components to detect damage. This can secure personal safety and reduce maintenance effort for mechanical systems. Conventional damage detection techniques known as nondestructive evaluation (NDE) have been conducted to detect and locate damaged area in structures. Ultrasonic testing, using ultrasonic transducers or electromagnetic acoustic transducers, is one of the most widespread NDE techniques, based on monitoring changes in acoustic impedance. Although the ultrasonic testing has advantages such as high sensitivity to discontinuities and evaluation accuracy, it requires testing surface accessibility, close location to the damaged area, and decent skill and training of technicians. In recent years, modal analysis techniques to capture changes of mode shapes and natural frequency of structures have been investigated. However, the technique is relatively insensitive to small amount of damage such as an initial crack which can rapidly grow in structures under cyclic loadings. In addition, structural health monitoring based on guided waves has become a preferred damage detection approach due to its quick examination of large area and simple inspection mechanisms. There are many techniques used to analyze sensor signals to bring out features related to damage. A phased array coupled with the guided wave approach has been introduced to effectively analyze complicated guided wave signals. Phased array theory as a directional filtering technique is usually used in antenna applications. By using phased array signal processing, virtually steering the array to find the largest response of source, the desired signal component can be enhanced while unwanted information is eliminated.
Skip Nav Destination
ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 21–23, 2009
Oxnard, California, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4897-5
PROCEEDINGS PAPER
2-D Directional Phased Array Using Piezoelectric Paint to Detect Damages in Isotropic Plates
Byungseok Yoo,
Byungseok Yoo
University of Maryland, College Park, MD
Search for other works by this author on:
Darryll J. Pines,
Darryll J. Pines
University of Maryland, College Park, MD
Search for other works by this author on:
Ashish S. Purekar
Ashish S. Purekar
Techno-Sciences, Inc., Beltsville, MD
Search for other works by this author on:
Byungseok Yoo
University of Maryland, College Park, MD
Darryll J. Pines
University of Maryland, College Park, MD
Ashish S. Purekar
Techno-Sciences, Inc., Beltsville, MD
Paper No:
SMASIS2009-1396, pp. 549-556; 8 pages
Published Online:
February 16, 2010
Citation
Yoo, B, Pines, DJ, & Purekar, AS. "2-D Directional Phased Array Using Piezoelectric Paint to Detect Damages in Isotropic Plates." Proceedings of the ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 2: Multifunctional Materials; Enabling Technologies and Integrated System Design; Structural Health Monitoring/NDE; Bio-Inspired Smart Materials and Structures. Oxnard, California, USA. September 21–23, 2009. pp. 549-556. ASME. https://doi.org/10.1115/SMASIS2009-1396
Download citation file:
12
Views
Related Proceedings Papers
Related Articles
Structural Health Monitoring of Glass/Epoxy Composite Plates Using PZT and PMN-PT Transducers
J. Eng. Mater. Technol (January,2011)
Long Short-Term Memory Autoencoder for Anomaly Detection in Rails Using Laser Doppler Vibrometer Measurements
ASME J Nondestructive Evaluation (January,0001)
Ultrasonic Structural Health Monitoring Approach to Predict Delamination in a Laminated Beam Using d15 Piezoelectric Sensors
ASME J Nondestructive Evaluation (August,2021)
Related Chapters
Introduction
Computer Vision for Structural Dynamics and Health Monitoring
Introduction and Scope
High Frequency Piezo-Composite Micromachined Ultrasound Transducer Array Technology for Biomedical Imaging
Use of PSA in Lisencing of EPR 1600 in Finland (PSAM-0160)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)