Open AccessMatrix techniques for Lamb-wave damage imaging in metal plates
Author(s) -
Robert Neubeck,
Christian Kexel,
Jochen Moll
Publication year - 2020
Publication title -
smart materials and structures
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.898
H-Index - 154
eISSN - 1361-665X
pISSN - 0964-1726
DOI - 10.1088/1361-665x/abba6d
Subject(s) - transmitter , structural health monitoring , lamb waves , computer science , ultrasonic sensor , matrix (chemical analysis) , acoustics , isotropy , radar , function (biology) , nondestructive testing , piezoelectric sensor , piezoelectricity , algorithm , electronic engineering , engineering , materials science , physics , optics , telecommunications , surface wave , structural engineering , channel (broadcasting) , evolutionary biology , composite material , biology , quantum mechanics
The implementation of efficient maintenance strategies of thin-walled structural components require reliable damage detection and localization techniques. In particular, guided ultrasonic waves technology represent an auspicious approach when implemented in a structural health monitoring system. The method is usually based on distributed sensing with piezoelectric elements that act in turn as ultrasound transmitter and receiver. This work aims at a unifying framework for damage localization considering algorithms from different scientific disciplines, e.g. originated from radar and geophysics. Here, we systematically express those algorithms in matrix form and compare the respective damage localization performance with experimental measurements considering an isotropic specimen with a single and also multiple simultaneous defects. In addition, we evaluate the algorithms’ point spread function and propose performance metrics to quantitatively compare the imaging success.