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Dettaglio Insegnamento

Contesto
Anno Accademico 2021/2022
Corso di Studi Dott. - MI (1383) Ingegneria Meccanica / Mechanical Engineering
Anno di Corso 1

Scheda Insegnamento
Codice Identificativo 057648
Denominazione Insegnamento INTEGRATED EXPERIMENTAL AND COMPUTATIONAL APPROACHES TO THE DIAGNOSTICS OF STRUCTURES AND COMPONENTS
Tipo Insegnamento MONODISCIPLINARE
Crediti Formativi Universitari (CFU) 5.0
Programma sintetico Several types of sensors can be used to gather information on the system or the damage state of a structure under test. The measuring strategy, the design and implementation of the experimental activity is analyzed first in the course, considering both traditional measuring approaches and innovative vision-based techniques with RGB and hyperspectral cameras. The use of unmanned aerial vehicles for 3D shape, strain field and vibration measurement is discussed, in particular for applications in dangerous, harsh or hardly reaching environments. Damage or abnormal behavior identification involves the definition of proper 'damage indicators' that can be estimated starting from the data recorded by a network of sensors. The variation in time of the damage indicators represents an index of possible anomalies linked to damage. A direct analysis of the recorded data can give a first real-time indication of the system condition and on its possible evolution, while reliable simulations of the system response can support the estimation of damage severity and location. In a context that involves periodical inspections and evaluations, time-consuming numerical (finite element) analyses may be replaced by fast analytical surrogate models, also introduced in the course. Case studies allow exploring the practical application of the different structural damage identification approaches.
Settori Scientifico Disciplinari (SSD) --

Dettaglio
Scaglione Docente Programma dettagliato
Da (compreso) A (escluso)
A ZZZZ Zappa Emanuele, Bolzon Gabriella, Limongelli Maria Giuseppina
manifestidott v. 1.7.0 / 1.7.0
Area Servizi ICT
12/08/2022