| M.Sc. Nicola Gottardi | |
 | Ruhr University Bochum Institute for Structural Mechanics IC / 6 / 175 Universitätsstraße 150 44801 Bochum Email: nicola.gottardi@rub.de Tel: 0234 / 32-29057 download vCard |
Educational Background
| Since 2019 | Research associate at the Institut for Structural Mechanics, Ruhr University Bochum, Germany |
| 2018 | Graduate Teaching Assistant of the course Underground Construction, University of Trento, Italy |
| 2015 - 2018 | Master Degree in Civil Engineering (Geotechnics and Infrastructure) - (Thesis title: "The Brenner Base Tunnel: Mutual interaction between Parallel Tunnels"), University of Trento, Italy |
| 2012 - 2015 | Bachelor Degree in Civil Engineering (Thesis title: "Evaluation of the Maximum Power of the Canezza Hydroelectric Power Plant and Calculation of Water Hammer Overpressures in the Pipeline by means of Allievi's Procedure"), University of Trento, Italy |
Research Interest
- Ground-Structure interaction in Underground Constructions, with focus on Tunnel Lining Behavior
- Artificial Neural Networks
- Numerical simulations of the tunneling process
- Analysis of concrete structures
- Geomechanics
- Sensitivity Analyses
Lectures
- Lineare Finite-Elemente-Methoden
Publications
Scientific Publications in Refereed Journals | |
| [ 1 ] |
N. Gottardi, S. Freitag, and G. Meschke Real-time estimation of the structural utilization level of segmental tunnel lining Underground Space, 17:132--145, 2024 [ DOI ] |
| [ 2 ] |
N. Gottardi, S. Freitag, and G. Meschke Structural stress prediction based on deformations using artificial neural networks trained with artificial noise PAMM, 22(1):S4, 2023 [ DOI | http ] |
Scientific Publications in Conference Proceedings | |
| [ 3 ] |
N. Gottardi, S. Freitag, and G. Meschke Real-time stress field reconstruction in tunnel structures deploying an AI FEM based structural health monitoring framework considering uncertain parameters In ISRM European Rock Mechanics Symposium (EUROCK 2024), Alicante, Spain, July 2024 |
| [ 4 ] |
N. Gottardi, G. Meschke, and S. Freitag Getting the big picture right: tunnel lining safety prediction based on measurements deploying an ai-fem-based concept In From Underground to Surface: Energy provision and Distribution, Bochum, November 2023 |
| [ 5 ] |
Nicola Gottardi, Steffen Freitag, and Günther Meschke Structural utilization prediction for the health monitoring of tunnel linings by means of an artificial neural network ensemble In Designing SHM for Sustainability, Maintainability, and Reliability. Proceedings of the International Workshop on Structural Health Monitoring, Stanford, September 2023 [ DOI ] |
| [ 6 ] |
N. Gottardi, S. Freitag, and G. Meschke Safety level assessment of segmental lining in rock In G. Anagnostou, A. Benardos, and V.P. Marinos, editors, Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World: Proceedings of the ITA-AITES World Tunnel Congress 2023 (WTC 2023), 12-18 May 2023, Athens, Greece, volume 1 of (1st ed.), pages 2693--2700, London, April 2023. CRC Press [ DOI ] |
| [ 7 ] |
Nicola Gottardi, Steffen Freitag, and Günther Meschke Structural health assessment of segmental lining In International Conference on Computational Methods and Information Models in Tunneling (EURO:TUN), Bochum, Germany, 2022 |
| [ 8 ] |
B. T. Cao, N. Gottardi, S. Freitag, and G. Meschke Tunnel lining deformation prediction using limited measurements and gappy proper orthogonal decomposition In 15th World Congress on Computational Mechanics (WCCM 2022), Yokohama, Japan, 2022 |