Guided wave based structural health monitoring: A review

• Published in: Smart materials and structures Vol. 25; no. 5; pp. 53001 - 53027
• Main Authors: Mitra, Mira, Gopalakrishnan, S
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.05.2016
• Subjects: damage detection; Feature extraction; guided wave; Machine learning; Nonlinearity; Smart materials and structures; State of the art; Structural health monitoring; Transducers; Wave propagation
• ISSN: 0964-1726; 1361-665X
• DOI: 10.1088/0964-1726/25/5/053001

The paper provides a state of the art review of guided wave based structural health monitoring (SHM). First, the fundamental concepts of guided wave propagation and its implementation for SHM is explained. Following sections present the different modeling schemes adopted, developments in the area of transducers for generation, and sensing of wave, signal processing and imaging technique, statistical and machine learning schemes for feature extraction. Next, a section is presented on the recent advancements in nonlinear guided wave for SHM. This is followed by section on Rayleigh and SH waves. Next is a section on real-life implementation of guided wave for industrial problems. The paper, though briefly talks about the early development for completeness, is primarily focussed on the recent progress made in the last decade. The paper ends by discussing and highlighting the future directions and open areas of research in guided wave based SHM.