Gunnstein Thomas Frøseth

Gunnstein Thomas Frøseth is an Associate Professor in the Department of Structural Engineering at NTNU. His research focuses on structural health monitoring, fatigue analysis of railway bridges, and improving prediction methods for remaining service life. He specializes in combining numerical simulations with field measurements to enhance accuracy in structural assessments.

His work addresses challenges in railway infrastructure, including load modeling, corrosion detection, and vibration analysis of steel bridges. Key contributions include advancements in machine learning applications for structural diagnostics and photogrammetry techniques for railway catenary systems.

As part of his research group, he collaborates on projects like the 'Hell Bridge Test Arena,' exploring sensor-based inspections and damage detection. His interdisciplinary approach integrates civil engineering, materials science, and data-driven methods to tackle critical infrastructure challenges.