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Mayuko Nishio ORCID

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

  1. Saida, Taisei / Rashid, Muhammad / Nishio, Mayuko: System fragility analysis of highway bridge using multi-output Gaussian process regression surrogate model. In: Advances in Structural Engineering.

    https://doi.org/10.1177/13694332241291255

  2. Matono, Gen / Nishio, Mayuko (2024): Component‐level point cloud completion of bridge structures using deep learning. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 17 (17 August 2024).

    https://doi.org/10.1111/mice.13218

  3. Rashid, Muhammad / Nishio, Mayuko (2023): System fragility evaluation of a curved highway bridge structure considering multi-direction seismic excitations. In: Advances in Structural Engineering, v. 26, n. 14 (15 September 2023).

    https://doi.org/10.1177/13694332231198136

  4. Saida, Taisei / Rashid, Muhammad / Nemoto, Yudai / Tsukamoto, Shota / Asai, Takehiko / Nishio, Mayuko (2023): CNN-based segmentation frameworks for structural component and earthquake damage determinations using UAV images. In: Earthquake Engineering and Engineering Vibration, v. 22, n. 2 (Februar 2023).

    https://doi.org/10.1007/s11803-023-2174-z

  5. Saida, Taisei / Nishio, Mayuko (2023): Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties. In: Computers & Structures, v. 281 (Juni 2023).

    https://doi.org/10.1016/j.compstruc.2023.107014

  6. Ho, Hoai / Nishio, Mayuko (2024): Evaluation of dynamic impact factor of existing bridges with road surface damages based on dynamic response under traffic flow loading. In: Structure and Infrastructure Engineering, v. 20, n. 9 (Januar 2024).

    https://doi.org/10.1080/15732479.2022.2145315

  7. Haque, Md. Naimul / Katsuchi, Hiroshi / Yamada, Hitoshi / Nishio, Mayuko (2016): Investigation of edge fairing shaping effects on aerodynamic response of long-span bridge deck by unsteady RANS. In: Archives of Civil and Mechanical Engineering, v. 16, n. 4 (September 2016).

    https://doi.org/10.1016/j.acme.2016.06.007

  8. Wattana, Kaiwan / Nishio, Mayuko (2017): Construction of a traffic estimation model using dynamic response features extracted from SHM data in a cable-stayed bridge. In: Procedia Engineering, v. 199 ( 2017).

    https://doi.org/10.1016/j.proeng.2017.09.184

  9. Nagayama, Tomonori / Kato, So / Wang, Haoqi / Su, Di / Nishio, Mayuko (2019): Vehicle Weight Estimation Using Wireless Accelerometers on a Steel-Box Girder Bridge. Vorgetragen bei: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019.

    https://doi.org/10.2749/newyork.2019.0805

  10. Ho, Hoai / Nishio, Mayuko (2020): Evaluation of dynamic responses of bridges considering traffic flow and surface roughness. In: Engineering Structures, v. 225 (Dezember 2020).

    https://doi.org/10.1016/j.engstruct.2020.111256

  11. Van Le, Hien / Nishio, Mayuko (2019): Structural change monitoring of a cable-stayed bridge by time-series modeling of the global thermal deformation acquired by GPS. In: Journal of Civil Structural Health Monitoring, v. 9, n. 5 (Oktober 2019).

    https://doi.org/10.1007/s13349-019-00360-9

  12. Nishio, Mayuko / Abe, Masato (2019): Operation of a Damaged Prestressed Concrete Girder Bridge with Repair and Reinforcement. In: Proceedings of the Institution of Civil Engineers - Forensic Engineering, v. 172, n. 1 (Februar 2019).

    https://doi.org/10.1680/jfoen.18.00021

  13. Katsuchi, Hiroshi / Yamada, Hitoshi / Nishio, Mayuko / Okazaki, Yoko (2015): Feasibility Study on Aerodynamically Stable Suspension Bridge with Simplified Girder Structures. Vorgetragen bei: IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015.

    https://doi.org/10.2749/222137815815774322

  14. Nishio, Mayuko / Kawaguchi, Yuji (2015): Uncertainty Quantification and Calibration of Dynamic Models of Existing Bridges Considering Difference of Modeling Strategy. Vorgetragen bei: IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015.

    https://doi.org/10.2749/222137815815774764

  15. Sun, Zhen / Nagayama, Tomonori / Nishio, Mayuko / Fujino, Yozo (2018): Investigation on a curvature-based damage detection method using displacement under moving vehicle. In: Structural Control and Health Monitoring, v. 25, n. 1 (Januar 2018).

    https://doi.org/10.1002/stc.2044

  16. Wattana, Kaiwan / Nishio, Mayuko (2017): Traffic volume estimation in a cable-stayed bridge using dynamic responses acquired in the structural health monitoring. In: Structural Control and Health Monitoring, v. 24, n. 4 (April 2017).

    https://doi.org/10.1002/stc.1890

  17. Katsuchi, Hiroshi / Yamada, Hitoshi / Nishio, Mayuko / Okazaki, Yoko (2016): Improvement of aerodynamic stability of suspension bridges with H-shaped simplified stiffening girder. In: Frontiers of Structural and Civil Engineering, v. 10, n. 1 (Januar 2016).

    https://doi.org/10.1007/s11709-015-0311-0

  18. Vo, Hung D. / Katsuchi, Hiroshi / Yamada, Hitoshi / Nishio, Mayuko (2016): A wind tunnel study on control methods for cable dry-galloping. In: Frontiers of Structural and Civil Engineering, v. 10, n. 1 (Januar 2016).

    https://doi.org/10.1007/s11709-015-0309-7

  19. Nishio, Mayuko / Marin, Juliette / Fujino, Yozo (2012): Uncertainty quantification of the finite element model of existing bridges for dynamic analysis. In: Journal of Civil Structural Health Monitoring, v. 2, n. 3-4 (Dezember 2012).

    https://doi.org/10.1007/s13349-012-0026-z

  20. Van Le, Hien / Nishio, Mayuko (2015): Time-series analysis of GPS monitoring data from a long-span bridge considering the global deformation due to air temperature changes. In: Journal of Civil Structural Health Monitoring, v. 5, n. 4 (September 2015).

    https://doi.org/10.1007/s13349-015-0124-9

  21. Wattana, Kaiwan / Nishio, Mayuko (2017): Application of a regression model for predicting traffic volume from dynamic monitoring data to the bridge safety evaluation. In: Journal of Civil Structural Health Monitoring, v. 7, n. 4 (September 2017).

    https://doi.org/10.1007/s13349-017-0234-7

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