Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme

Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme

In this paper, defect detection and identification in aluminium joints is investigated based on guided wave monitoring. Guided wave testing is first performed on the selected damage feature from experiments, namely, the scattering coefficient, to prove the feasibility of damage identification. A Bay...

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Bibliographic Details
Main Authors: Wen Wu, Sergio Cantero-Chinchilla, Wang-ji Yan, Manuel Chiachio Ruano, Rasa Remenyte-Prescott, Dimitrios Chronopoulos
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
guided waves
joints/bounded structures
damage identification
Bayesian inference
hybrid wave and finite element
surrogate model
Online Access:https://www.mdpi.com/1424-8220/23/8/4160

Internet

https://www.mdpi.com/1424-8220/23/8/4160

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