Titlebook: European Workshop on Structural Health Monitoring; EWSHM 2022 - Volume Piervincenzo Rizzo,Alberto Milazzo Conference proceedings 2023 The

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Mortal

https://doi.org/10.1007/978-3-658-18133-8 measurements in different flight altitudes ranging between 2,000 and 7,000 ft. Both A0 and S0 mode were analyzed within the frequency range of 50 to 500 kHz. Based on the collected data, it can be concluded that signals influenced by environmental and operational conditions and signals affected by the damage can be easily distinguished.

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Influence of Operational and Environmental Conditions on Lamb Wave Signals measurements in different flight altitudes ranging between 2,000 and 7,000 ft. Both A0 and S0 mode were analyzed within the frequency range of 50 to 500 kHz. Based on the collected data, it can be concluded that signals influenced by environmental and operational conditions and signals affected by the damage can be easily distinguished.

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2366-2557 devoted to biomedical applications.Written by leading exper.This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international rese

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Numerical Investigations on the Influence of Prestress on Lamb Wave Propagation’s Structural Health Monitoring. Although the behavior of Lamb waves has been dealt with in depth, there are still topics where research is needed, for example, the influence of prestress on Lamb wave propagation. In order to gain profound insight into this area, experimental methods and results on

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BILL

A Numerical Study on Baseline-Free Damage Detection Using Frequency Steerable Acoustic Transducersm rely on extensive transducer networks, besides preliminary reference measurements of the structures. This originated a growing demand for hardware simplification and cost reduction of the wave-based SHM methods, driving the conception of new solutions enabling both: the reduction in the amount of

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Synapse

Use of Deep Learning Techniques for Damage Localization in Aeronautical Composite Structuresanufactured out of carbon fiber-reinforced composite materials. Using ultrasonic guided waves (particularly Lamb waves), generated and recorded with piezoelectric transducers, is also challenging in this type of material. Otherwise, traditional methods used for this task are subjected to physics-bas

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