
Ph.D. candidate in Ingegneria Meccanica , 37th cycle (2021-2024)
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
PhD
Tutors
Teaching
Teachings
Master of Science
- Sperimentazione su strutture aerospaziali/Tecnologie aerospaziali (modulo di Tecnologie aerospaziali). A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Progettazione e fabbricazione additiva per applicazioni aerospaziali. A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Progettazione e fabbricazione additiva per applicazioni aerospaziali. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Strutture aeronautiche. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Petrolo, M.; Pagani, A.; Carrera, E.; Iannotti, P.; Candita, G. (2024)
Synergistic Use of CUF and Machine Learning for Structural Mechanics Problems. In: Fourth International Congress on Mechanics of Advanced Materials and Structures - ICMAMS, Bengaluru, India, 11-13 December 2024
Contributo in Atti di Convegno (Proceeding) - Petrolo, M.; Iannotti, P.; Pagani, A.; Carrera, E. (2024)
Selection of beam, plate, and shell theories using an axiomatic/asymptotic method and neural networks. In: ASME 2024 Aerospace Structures, Structural Dynamics, and Materials Conference SSDM2024 April 29 - May 1, 2024, Renton, Washington, Renton, WA, USA, 29 April - 1 May 2024
Contributo in Atti di Convegno (Proceeding) - Iannotti, P. (2024)
Selection of best beam theories based on natural frequencies and dynamic response obtained through mode superposition method. In: IV Aerospace PhD-Days, Scopello, Italy, 6-9th of May 2024, pp. 5-9
Contributo in Atti di Convegno (Proceeding) - Petrolo, M.; Iannotti, P.; Trombini, M.; Pagani, A.; Carrera, E. (2024)
A machine learning approach to evaluate the influence of higher-order generalized variables on shell free vibrations. In: JOURNAL OF SOUND AND VIBRATION, vol. 575. ISSN 0022-460X
Contributo su Rivista - Petrolo, M.; Iannotti, P.; Trombini, M.; Melis, M. (2023)
Refinement of Structural Theories for Composite Shells through Convolutional Neural Networks. In: 27th Congress of the Italian Association of Aeronautics and Astronautics, AIDAA 2023, Padova, 4-7 September 2023
Contributo in Atti di Convegno (Proceeding)