universidade lusófona

Civil Research Talks | Douglas Bueno | On the interactions between guided waves and damage for SHM applications

Douglas Bueno | Assistant Professor, School of Engineering of Ilha Solteira (FEIS), São Paulo State University (UNESP), Ilha Solteira, Brazil

November 9, 2022 | 11h30-12h30 | Room U.0.6 | https://videoconf-colibri.zoom.us/j/93285885760 | Lusófona University, Lisbon, Portugal

Abstract: There are optimal frequencies for damage detection and they can be determined by considering the interactions between longitudinal/flexural waves and damage. At these optimal frequencies are observed the maximum reflected and the minimum transmitted wave amplitudes, and they are the best option to damage detection due to their higher differences in terms of wave amplitudes when comparing undamaged and damaged conditions. Experimental tests are carried out considering a rectangular aluminum plate with circular piezoelectric transducers, and the results highlight the importance of defining optimal frequencies to detect damage in structures.

Short Bio: Douglas Bueno is an Assistant Professor at FEIS UNESP in the Mathematics Department and Research Fellow from National Council for Scientific and Technological Development (CNPq/Brazil). He received his B.S.Eng. (Hons) in 2006 and M.Eng. (2007) degrees in Mechanical Engineering from FEIS UNESP, and his Ph.D. (2014) in Aeronautical Engineering from the Aeronautics Institute of Technology (Brazil). He was Visiting Researcher at Duke University (USA) (2019-2020). He served EMBRAER SA as engineer in the Technological Development Department and PSA Peugeot Citröen as product development engineer with experimental tests in prototype vehicles. His research ranges over the topics of aeroelasticity, smart materials, wave propagation,
nonlinear dynamics and structures. He is focused on creating mathematical and computational models of fluid-structural interaction with applications to aerospace vehicles, including gust alleviation, vibration control and structural health monitoring.

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