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Gunnstein T. Frøseth
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A data-based structural health monitoring approach for damage detection in steel bridges using experimental data
BT Svendsen, GT Frøseth, O Øiseth, A Rønnquist
Journal of Civil Structural Health Monitoring 12 (1), 101-115, 2022
692022
Influence line extraction by deconvolution in the frequency domain
GT Frøseth, A Rønnquist, D Cantero, O Øiseth
Computers & Structures 189, 21-30, 2017
552017
Improved finite element model updating of a full-scale steel bridge using sensitivity analysis
BT Svendsen, ØW Petersen, GT Frøseth, A Rønnquist
Structure and Infrastructure Engineering 19 (3), 315-331, 2022
402022
A robust line-tracking photogrammetry method for uplift measurements of railway catenary systems in noisy backgrounds
T Jiang, GT Frøseth, A Rønnquist, E Fagerholt
Mechanical Systems and Signal Processing 144, 106888, 2020
362020
A hybrid structural health monitoring approach for damage detection in steel bridges under simulated environmental conditions using numerical and experimental data
BT Svendsen, O Øiseth, GT Frøseth, A Rønnquist
Structural Health Monitoring 22 (1), 540-561, 2023
282023
Cable vibration measurement based on broad-band phase-based motion magnification and line tracking algorithm
K Luo, X Kong, X Wang, T Jiang, GT Frøseth, A Rønnquist
Mechanical Systems and Signal Processing 200, 110575, 2023
222023
Damage Detection Applied to a Full‐Scale Steel Bridge Using Temporal Moments
BT Svendsen, GT Frøseth, A Rönnquist
Shock and Vibration 2020 (1), 3083752, 2020
212020
Load model of historic traffic for fatigue life estimation of Norwegian railway bridges
GT Frøseth, A Rönnquist
Engineering Structures 200, 109626, 2019
202019
A detailed investigation of uplift and damping of a railway catenary span in traffic using a vision-based line-tracking system
T Jiang, A Rønnquist, Y Song, GT Frøseth, P Nåvik
Journal of Sound and Vibration 527, 116875, 2022
182022
A robust bridge rivet identification method using deep learning and computer vision
T Jiang, GT Frøseth, A Rønnquist
Engineering Structures 283, 115809, 2023
172023
Train classification using a weigh-in-motion system and associated algorithms to determine fatigue loads
M Zakharenko, GT Frøseth, A Rönnquist
Sensors 22 (5), 1772, 2022
142022
Assessment of pantograph-catenary interaction in a railway overlap section via a novel optical-based method
T Jiang, GT Frøseth, P Nåvik, A Rønnquist
Mechanism and Machine Theory 177, 105045, 2022
122022
Evolution of load conditions in the Norwegian railway network and imprecision of historic railway load data
GT Frøseth, A Rönnquist
Structure and infrastructure engineering 15 (2), 152-169, 2019
122019
Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks
Y Song, H Wang, G Frøseth, P Nåvik, Z Liu, A Rønnquist
Mechanism and Machine Theory 187, 105386, 2023
112023
Finding the train composition causing greatest fatigue damage in railway bridges by Late Acceptance Hill Climbing
GT Frøseth, A Rönnquist
Engineering Structures 196, 109342, 2019
102019
Operational displacement estimations of railway catenary systems by photogrammetry and the integration of acceleration time series
GT Frøseth, P Nåvik, A Rønnquist
Int. J. Railw. Technol 6, 71-92, 2017
92017
The effects of spatially distributed damping on the contact force in railway pantograph-catenary interactions
Y Song, T Jiang, A Rønnquist, P Nåvik, G Frøseth
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021
82021
A 6-DOF camera motion correction method using IMU sensors for photogrammetry and optical measurements
T Jiang, GT Frøseth, S Wang, ØW Petersen, A Rønnquist
Mechanical Systems and Signal Processing 210, 111148, 2024
52024
Close range photogrammetry for measuring the response of a railway catenary system
GT Frseth, P Nvik, A Rnnquist
Proceedings of the Third International Conference on Railway Technology …, 2016
52016
Operational modal analysis and model updating of riveted steel bridge
GT Frøseth, A Rönnquist, O Øiseth
Dynamics of Civil Structures, Volume 2: Proceedings of the 34th IMAC, A …, 2016
42016
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