PSI - Issue 52

ScienceDirect Structural Integrity Procedia 00 (2022) 000 – 000 Structural Integrity Procedia 00 (2022) 000 – 000 Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia

www.elsevier.com/locate/procedia

Procedia Structural Integrity 52 (2024) 699–708

© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of Professor Ferri Aliabadi Abstract In this study, aiming at existing challenges in guided wave-based structure health monitoring (GWSHM) and vibration-based structure health monitoring (VSHM) methods, a hybrid method combining the advantages of these two methods is proposed to detect and localize damage on aluminium plate. Specifically, damage sensitive features are firstly extracted from guided wave and vibration, and then these features are input to a neural pattern recognition and a Backpropagation Neural Network (BPNN) to detect and localize the damage. Experimental results demonstrate that both the individual vibration and guided-wave methods are capable of achieving 100% accuracy in damage detection. However, in terms of damage localization, the GWSHM method achieves the best performance with an average Mean normalized distance (MND) value of 0.91cm and a minimum MND value of 0.66cm between the predicted and actual damage locations. The mean value of MND predicted by the vibration method is 2.05 cm, with a minimum value of 1.18 cm. For the hybrid method, the predicted average MND value is 0.79 cm and the minimum MND value is 0.38cm, which verifies the effectiveness of the hybrid method proposed in this research. Fracture, Damage and Structural Health Monitoring A hybrid method based on vibration and guided waves for damage detection and localization Yuhang Pan a *, Zahra Sharif Khodaei a , M.H. Aliabadi a , a Department of Aeronautics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK Abstract In this study, aiming at existing challenges in guided wave-based structure health monitoring (GWSHM) and vibration-based structure health monitoring (VSHM) methods, a hybrid method combining the advantages of these two methods is proposed to detect and localize damage on aluminium plate. Specifically, damage sensitive features are firstly extracted from guided wave and vibration, and then these features are input to a neural pattern recognition and a Backpropagation Neural Network (BPNN) to detect and localize the damage. Experimental results demonstrate that both the individual vibration and guided-wave methods are capable of achieving 100% accuracy in damage detection. However, in terms of damage localization, the GWSHM method achieves the best performance with an average Mean normalized distance (MND) value of 0.91cm and a minimum MND value of 0.66cm between the predicted and actual damage locations. The mean value of MND predicted by the vibration method is 2.05 cm, with a minimum value of 1.18 cm. For the hybrid method, the predicted average MND value is 0.79 cm and the minimum MND value is 0.38cm, which verifies the effectiveness of the hybrid method proposed in this research. Keywords: guided wave-based SHM; vibration-based SHM; hybrid method; damage detection; damage localization 1. Introduction Structural health monitoring (SHM) is a promising non-destructive testing method that has application potential in aeronautics structures. It is used to detect and locate damage of structures by using mounted sensors. Its distinctive advantage is its capability to achieve damage detection (damages such as barely visible impact damage that is Fracture, Damage and Structural Health Monitoring A hybrid method based on vibration and guided waves for damage detection and localization Yuhang Pan a *, Zahra Sharif Khodaei a , M.H. Aliabadi a , a Department of Aeronautics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK Keywords: guided wave-based SHM; vibration-based SHM; hybrid method; damage detection; damage localization 1. Introduction Structural health monitoring (SHM) is a promising non-destructive testing method that has application potential in aeronautics structures. It is used to detect and locate damage of structures by using mounted sensors. Its distinctive advantage is its capability to achieve damage detection (damages such as barely visible impact damage that is

* Corresponding author. Tel.: +44 (0) 771-392-0325. E-mail address: y.pan21@imperial.ac.uk * Corresponding author. Tel.: +44 (0) 771-392-0325. E-mail address: y.pan21@imperial.ac.uk

2452-3216 © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of Professor Ferri Aliabadi 10.1016/j.prostr.2023.12.070 2452-3216 © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of Professor Ferri Aliabadi 2452-3216 © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of Professor Ferri Aliabadi