Structural health monitoring of adhesive joints using Lamb waves: A review

Summary In the past decades, Lamb waves (LW) have seen encouraging results when applied to non destructive testing (NDT) and structural health monitoring (SHM), with important research done continuously through the years in both fields. This paper is a comprehensive review on equipment, testing proc...

Full description

Saved in:
Bibliographic Details
Published in:Structural control and health monitoring 2022-01, Vol.29 (1), p.n/a
Main Authors: Ramalho, Gabriel M. F., Lopes, António M., Silva, Lucas F. M.
Format: Article
Language:English
Subjects:
adhesive joint
Adhesive joints
Adhesive strength
Adhesives
Damage detection
defect
Destructive testing
Information processing
Lamb wave
Lamb waves
Learning algorithms
Machine learning
Nondestructive testing
Signal processing
Structural health monitoring
Test procedures
Testing procedures
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Summary In the past decades, Lamb waves (LW) have seen encouraging results when applied to non destructive testing (NDT) and structural health monitoring (SHM), with important research done continuously through the years in both fields. This paper is a comprehensive review on equipment, testing procedures and techniques adopted in NDT and SHM, with emphasis in applications involving SHM of adhesive joints. The fundamentals of LW and their application to damage detection are discussed, and different signal processing, statistical, machine learning and simulation methods are presented. The paper represents a basis to deepen the understanding about the problem at hand and is a thorough compilation of relevant information to future work. Although LW‐based SHM methods have been heavily studied, there is a gap of few to no studies between these topics and adhesive joints, namely, for monitoring weak adhesion.
ISSN:1545-2255
1545-2263
DOI:10.1002/stc.2849