Samuel da Silva | Associate Professor, São Paulo State University (UNESP), Ilha Solteira, Brazil
November 28, 2022 | 11h30-12h30 | Room U.0.6 | https://videoconf-colibri.zoom.us/j/93285885760 | Lusófona University, Lisbon, Portugal
Abstract: Bolted joints are essential for structural systems’ connection, stability, and damping dissipation. Thus, the continuous monitoring of the tightening torque in each bolted joint is demanded to interrogate the structural state. This talk presents recent developments proposing new solutions utilizing indirect vibration data measures for detecting and quantifying damage in bolted joints by probabilistic machine learning procedures.
Short Bio: Samuel da Silva is an Associate Professor in the Mechanical Engineering Department at São Paulo State University – UNESP (Ilha Solteira/Brazil) and Research Fellow from National Council for Scientific and Technological Development (CNPq/Brazil). He obtained a B.S.E. and M.S. in Mechanical Engineering from UNESP – Ilha Solteira (Brazil) in 2002 and 2005, respectively, where he was FAPESP Graduate Research Fellow. In 2008 he received his Ph.D. in Mechanical Engineering from the State University of Campinas (UNICAMP) with a Sandwich Doctorate scholarship at Université de Franche-Comté (Besançon, France) (2007). He was Visiting Researcher at Arts et Métiers (Paris, France) with a São Paulo Research Foundation (FAPESP) fellowship from 2019 – 2020. Currently, he serves on the editorial board of the Journal of the Brazilian Society of Mechanical Sciences and Engineering. He has supervised 8 complete Ph.D. thesis and published more than 65 peer-review journal papers. His research interests cover Structural Health Monitoring, System Identification, Signal Processing, Nonlinear Dynamics, and Applied Mechanics.