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Gunnstein T. Frøseth ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Jiang, Tengjiao / Frøseth, Gunnstein T. / Rønnquist, Anders / Kong, Xuan / Deng, Lu: A visual inspection and diagnosis system for bridge rivets based on a convolutional neural network. In: Computer-Aided Civil and Infrastructure Engineering.

    https://doi.org/10.1111/mice.13274

  2. Hu, Zhicheng / Lau, Albert / Dai, Jian / Frøseth, Gunnstein T. (2024): Identification of optimal accelerometer placement on trains for railway switch wear monitoring via multibody simulation. In: Frontiers in Built Environment, v. 10 (Februar 2024).

    https://doi.org/10.3389/fbuil.2024.1396578

  3. Aursand, Mads / Frøseth, Gunnstein T. / Haagensen, Per J. / Skallerud, Bjørn H. (2024): Crack growth in high strength mooring line steel under variable amplitude loading. In: Marine Structures, v. 93 (Januar 2024).

    https://doi.org/10.1016/j.marstruc.2023.103534

  4. Zakharenko, Mariia / Frøseth, Gunnstein T. / Rönnquist, Anders: How conservative is the Norwegian fatigue load model for service life estimation of railway bridges?. In: Structure and Infrastructure Engineering.

    https://doi.org/10.1080/15732479.2022.2145316

  5. Svendsen, Bjørn T. / Øiseth, Ole / Frøseth, Gunnstein T. / Rønnquist, Anders (2019): A hybrid structural health monitoring approach for damage detection in steel bridges under simulated environmental conditions using numerical and experimental data. In: Structural Health Monitoring, v. 22, n. 1 (November 2019).

    https://doi.org/10.1177/14759217221098998

  6. Svendsen, Bjørn T. / Frøseth, Gunnstein T. / Rönnquist, Anders (2020): Damage Detection Applied to a Full-Scale Steel Bridge Using Temporal Moments. In: Shock and Vibration, v. 2020 (Januar 2020).

    https://doi.org/10.1155/2020/3083752

  7. Svendsen, Bjørn T. / Frøseth, Gunnstein T. / Øiseth, Ole / Rønnquist, Anders (2021): A data-based structural health monitoring approach for damage detection in steel bridges using experimental data. In: Journal of Civil Structural Health Monitoring, v. 12, n. 1 (November 2021).

    https://doi.org/10.1007/s13349-021-00530-8

  8. Svendsen, Bjørn T. / Petersen, Øyvind W. / Frøseth, Gunnstein T. / Rønnquist, Anders (2023): Improved finite element model updating of a full-scale steel bridge using sensitivity analysis. In: Structure and Infrastructure Engineering, v. 19, n. 3 (Oktober 2023).

    https://doi.org/10.1080/15732479.2021.1944227

  9. Frøseth, Gunnstein T. / Rönnquist, Anders (2019): Load model of historic traffic for fatigue life estimation of Norwegian railway bridges. In: Engineering Structures, v. 200 (Dezember 2019).

    https://doi.org/10.1016/j.engstruct.2019.109626

  10. Frøseth, Gunnstein T. / Rönnquist, Anders (2019): Finding the train composition causing greatest fatigue damage in railway bridges by Late Acceptance Hill Climbing. In: Engineering Structures, v. 196 (Oktober 2019).

    https://doi.org/10.1016/j.engstruct.2019.109342

  11. Frøseth, Gunnstein T. / Rönnquist, Anders (2019): Evolution of load conditions in the Norwegian railway network and imprecision of historic railway load data. In: Structure and Infrastructure Engineering, v. 15, n. 2 (Januar 2019).

    https://doi.org/10.1080/15732479.2018.1504087

  12. Frøseth, Gunnstein T. / Rønnquist, Anders / Cantero, Daniel / Øiseth, Ole (2017): Influence line extraction by deconvolution in the frequency domain. In: Computers & Structures, v. 189 (September 2017).

    https://doi.org/10.1016/j.compstruc.2017.04.014

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