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

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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


  • Lineare Finite-Elemente-Methoden


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
[ 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
[ 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
[ 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