Secretary's Office of the RL Machine and Vehicle Design
Claudio Sbarufatti (MSc in Mechanical Engineering, Politecnico di Milano, 2009; PhD in Aerospace Engineering - Rotary-Wing Aircrafts, Politecnico di Milano, 2013) is associate professor (ING-IND/14) at the Department of Mechanical Engineering at the Politecnico di Milano since November, 2019 and is Professor of the course Machine Design 1.
His main expertise is focused on the development of methods for health and usage monitoring of structural components and systems. The monitoring methodology leverages on the combination of sensor data and models (Digital-Twin) for the identification of characteristic patterns in the signals, enabling the diagnosis and prognosis of system degradation.
Within this context, his research interests include the development and application of statistical and numerical methods for the solution of inverse problems in the context of structural anomaly and structural load identification, inverse FEM, machine learning, Monte-Carlo methods for Bayesian model updating and system prognosis, damage prognosis of composite structures, sensor network optimization, active and passive impact monitoring and, more recently, the identification of multifunctional composite materials with self-sensing and self-heating functions.
He is head of the research line Structural Health Monitoring and Prognosis in the SIGMALab and is currently involved in the management of national and international projects, the latter in the framework of the European Defence Agency, mainly focused on digital-twin modelling, load and structural health monitoring and residual life prognosis.
He is co-author of more than 100 papers on international journals and proceedings of international conferences.