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Guided wave‐based damage detection in solids using computational intelligence
Author(s) -
Hesser Daniel Frank,
Markert Bernd
Publication year - 2018
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201800296
Subject(s) - structural health monitoring , process (computing) , field (mathematics) , computer science , lamb waves , acoustics , computational intelligence , surface wave , artificial intelligence , engineering , structural engineering , physics , telecommunications , mathematics , pure mathematics , operating system
The field of structural health monitoring focuses on the non‐destructive evaluation of structures during on‐going operation. In this paper, the application of elastic guided waves in solids is discussed and applied to monitor an aluminium plate. The interaction of waves with structural features and uncertainties results into a unique wave field, which can be achieved by bonding piezoelectric sensors on the surface. These sensors allow a controlled excitation and acquisition of waves in structural components. In this study, the acquired data is processed by the help of computational intelligence. Computational intelligence enables the ability to learn wave behaviours from data of undamaged as well as damaged structures. Once the training process is completed, the trained system can be applied under operational conditions and will continuously monitor the structure and detect the location of damage.