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 ^ĐŝĞŶĐĞ ŝƌĞĐƚ Available online at www.sciencedirect.com ^ĐŝĞŶĐĞ ŝƌĞĐƚ

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Structural Integrity 52 (2024) 424–429

© 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 Guided wave (GW) based Structural Health Monitoring (SHM) systems are widely promoted in literature for their capability in damage and load monitoring, providing benefits in terms of inspection and maintenance/repair operations. The high sensitivity of GWs to both loads and damages, however, alters in a similar way the measurements gathered by piezoelectric (PZT) sensors network, leading to possible false positives. This paper proposes an experimental tests campaign carried out on a piezo-monitored aluminium plate, 360 mm x 500 mm x 2 mm sized, subjected to a tensile load. The plate was loaded under different load levels, each individually, by using an electromechanical test machine, the Zwick/Roell 250, equipped with a 250 kN load cell, and the diagnostic signals dataset was acquired in a specific frequency range. Load effects were thus analysed along different measurement paths in terms of amplitude and velocity variation, also in presence of a simulated damage. © 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 Keywords: structural health monitoring; ultrasonic guided waves; PZT, aluminium; tensile load 1. Introduction Mechanical structures are continuously subjected to environmental, operational and accidental conditions that can compromise their integrity in the long period, causing the possible onset and propagation of damages [1]. Although numerous techniques for structural inspections as X-rays, infrared thermography, and eddy current are currently used with satisfactory results [2], the possibility to get faster the maintenance and repairing operations has been attracting the interest of both industry and scientific communities [3]. During these last years, in fact, an increasing number of research activities have been addressed towards the structural health monitoring (SHM) field. SHM is defined as the 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 Abstract Guided wave (GW) based Structural Health Monitoring (SHM) systems are widely promoted in literature for their capability in damage and load monitoring, providing benefits in terms of inspection and maintenance/repair operations. The high sensitivity of GWs to both loads and damages, however, alters in a similar way the measurements gathered by piezoelectric (PZT) sensors network, leading to possible false positives. This paper proposes an experimental tests campaign carried out on a piezo-monitored aluminium plate, 360 mm x 500 mm x 2 mm sized, subjected to a tensile load. The plate was loaded under different load levels, each individually, by using an electromechanical test machine, the Zwick/Roell 250, equipped with a 250 kN load cell, and the diagnostic signals dataset was acquired in a specific frequency range. Load effects were thus analysed along different measurement paths in terms of amplitude and velocity variation, also in presence of a simulated damage. © 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 Keywords: structural health monitoring; ultrasonic guided waves; PZT, aluminium; tensile load 1. Introduction Mechanical structures are continuously subjected to environmental, operational and accidental conditions that can compromise their integrity in the long period, causing the possible onset and propagation of damages [1]. Although numerous techniques for structural inspections as X-rays, infrared thermography, and eddy current are currently used with satisfactory results [2], the possibility to get faster the maintenance and repairing operations has been attracting the interest of both industry and scientific communities [3]. During these last years, in fact, an increasing number of research activities have been addressed towards the structural health monitoring (SHM) field. SHM is defined as the 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 Fracture, Damage and Structural Health Monitoring Health and load monitoring in an aluminium plate through guided waves Alessandro De Luca a , Aldo Minardo a , Antonio Aversano a , Raffaele Vallifuoco a , Raffaele Sepe b , Francesco Caputo a , Fracture, Damage and Structural Health Monitoring Health and load monitoring in an aluminium plate through guided waves Alessandro De Luca a , Aldo Minardo a , Antonio Aversano a , Raffaele Vallifuoco a , Raffaele Sepe b , Francesco Caputo a , a University of Campania Luigi Vanvitelli, Department of Engineering – via Roma 29, 81031 Aversa (Italy) b Department of Industrial Engineering, University of Salerno, Via G. Paolo II, 132, 84084 Fisciano, Italy a University of Campania Luigi Vanvitelli, Department of Engineering – via Roma 29, 81031 Aversa (Italy) b Department of Industrial Engineering, University of Salerno, Via G. Paolo II, 132, 84084 Fisciano, Italy

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.2023.12.043