Ruhr-Universität Bochum

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

Linear Finite Element Methods
Lineare Finite-Elemente-Methoden

Publications
2024
[ 1 ]	Gottardi, N.; Freitag, S.; Meschke, G. Real-time estimation of the structural utilization level of segmental tunnel lining Underground Space (new), 2024 [ DOI ]
2023
[ 2 ]	Gottardi, Nicola; Steffen Freitag; Guenther Meschke Structural stress prediction based on deformations using artificial neural networks trained with artificial noise Proceedings in applied mathematics and mechanics, 2023-03-24 [ DOI ]
[ 3 ]	Gottardi, N.; Freitag, S.; Meschke, G. Safety level assessment of segmental linings in rock Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World- Proceedings of the ITA-AITES World Tunnel Congress, WTC 2023, 2023 [ DOI ]
[ 4 ]	Gottardi, N.; Freitag, S.; Meschke, G. Structural Utilization Prediction for the Health Monitoring of Tunnel Linings by Means of an Artificial Neural Network Ensemble Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring, 2023 [ DOI ]
2022
[ 5 ]	Gottardi, Nicola; Steffen Freitag; Guenther Meschke Structural health assessment of segmental lining International Conference on Computational Methods and Information Models in Tunneling (EURO:TUN), 2022 [ DOI ]
[ 6 ]	N. Gottardi; S. Freitag; Guenther Meschke Structural health assessment of segmental lining International Conference on Computational Methods and Information Models in Tunneling (EURO:TUN), 2022 [ DOI ]
[ 7 ]	B. T. Cao; N. Gottardi ; S. Freitag; Guenther Meschke Tunnel Lining Deformation Prediction Using Limited Measurements and Gappy Proper Orthogonal Decomposition 15th World Congress on Computational Mechanics (WCCM 2022), 2022 [ DOI ]
[ 8 ]	Cao, Ba Trung; Gottardi, Nicola; Steffen Freitag; Guenther Meschke Tunnel lining deformation prediction using limited measurements and Gappy proper orthogonal decomposition 15th World Congress on Computational Mechanics (WCCM-XV), 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), 2022 [ DOI ]