Prof. Babak Moaveni, Tufts University In
Prof. Babak Moaveni, Tufts University
In recent years, structural health monitoring (SHM) has received increased attention in the civil engineering research community with the objective to identify the structural damage at the earliest possible stage and to predict the remaining useful life of structures. This presentation highlights the challenges of vibration-based SHM methods for applications to large-scale civil structures, especially when dealing with changing ambient and environmental conditions. A Bayesian framework is presented for probabilistic damage identification to account for inherent as well as parameter estimation uncertainties.
The seminar will take place on the occasion of the Colloquia Doctoralia – XXX Cycle, PhD programme in Structural, Seismic and Geotechnical Engineering.
Politecnico di Milano
Date e orari
lunedì 26 marzo 2018
Dalle 16:00 alle 17:00
Politecnico di Milano, Aula Beltrami
Piazza Leonardo da Vinci, 32 - Edif. 5