Ultrasonic Guided-Wave Based System Identification for Beams

MALIK, MUHAMMAD KHALID; CHINCHILLA, SERGIO CANTERO; CHRONOPOULOS, DIMITRIOS; CHIACHIAO, JUAN; ESSA, YASSER

Abstract

© 2019 by DEStech Publications, Inc. All rights reserved. Structural health monitoring (SHM) usually requires several stages of information, starting from damage detection, localisation, and identification. Ultrasonic guided waves can travel long distances with relatively low attenuation, which enables them to interact with any potential damage present in the structure. This paper focuses on the use of a novel ultrasonic guided wave propagation model in order to provide both damage localisation and identification. The wave propagation model used here is a state of the art method for transient simulation of ultrasonic guided waves in one dimensional structures both isotropic and anisotropic. This is embedded in a framework for generating excitation signals and capturing scattered signals from damage at any point in the structure. The methodology computes the complete transient response at a fraction of computational cost of full finite element (FE) method. Two kind of damages are modelled: (1) a transverse crack and (2) a delamination in composite beams. To address damage identification and quantification, a model based Bayesian inverse problem is formulated so that both damage scenarios are identifiable. The proposed methodology is exemplified in a beam using the case study of a simulated delamination between two layers. The results show that the proposed framework classify and localise the damage accurately.

Citation

MALIK, M. K., CHINCHILLA, S. C., CHRONOPOULOS, D., CHIACHIAO, J., & ESSA, Y. (2019). Ultrasonic Guided-Wave Based System Identification for Beams. In Structural Health Monitoring 2019 : Enabling Intelligent Life-cycle Health Management for Industry Internet of Things (IIOT) : Proceedings of the Twelfth International Workshop on Structural Health Monitoring, September 10–12, 2019 (2313-2320). https://doi.org/10.12783/shm2019/32371

• Presentation Conference Type: Edited Proceedings
• Conference Name: 12th International Workshop on Structural Health Monitoring
• Start Date: Sep 10, 2019
• End Date: Sep 12, 2019
• Acceptance Date: Jul 1, 2019
• Online Publication Date: Nov 15, 2019
• Publication Date: Sep 10, 2019
• Deposit Date: Feb 13, 2020
• Publicly Available Date: Apr 23, 2020
• Volume: 2
• Pages: 2313-2320
• Book Title: Structural Health Monitoring 2019 : Enabling Intelligent Life-cycle Health Management for Industry Internet of Things (IIOT) : Proceedings of the Twelfth International Workshop on Structural Health Monitoring, September 10–12, 2019
• ISBN: 9781605956015
• DOI: https://doi.org/10.12783/shm2019/32371
• Public URL: https://nottingham-repository.worktribe.com/output/2980582
• Publisher URL: http://www.dpi-proceedings.com/index.php/shm2019/article/view/32371
• Related Public URLs: https://web.stanford.edu/group/sacl/workshop/IWSHM2019/proceeding.html; ; https://www.destechpub.com/product/structural-health-monitoring-2019/
• Additional Information: This article appeared in its original form in the Structural Health Monitoring 2019—Proceedings of the 12th International Conference Workshop on Structural Health Monitoring, 2019. Lancaster, PA: DEStech Publications, Inc.