Gunnstein Thomas Frøseth

Gunnstein Thomas Frøseth is an Associate Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on predicting the remaining service life of steel railway bridges, particularly addressing challenges in fatigue analysis, structural health monitoring, and model updating techniques. He leads projects combining field measurements with numerical simulations to assess bridge conditions under evolving load conditions.

Key research areas include fatigue life estimation, finite element analysis precision, and the integration of machine learning for infrastructure diagnostics. He collaborates with industry partners to develop practical solutions for railway infrastructure management, emphasizing cost-effective monitoring and predictive maintenance strategies.

His team applies advanced techniques like operational modal analysis, photogrammetry, and deep learning to improve bridge safety and longevity. Recent work includes corrosion detection systems, rivet inspection algorithms, and vibration analysis methodologies. His contributions bridge theoretical modeling with real-world applications in transportation infrastructure.