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Ying Min Low

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

  1. Cheng, Ankang / Miao, Qingqing / Low, Ying Min (2024): Data-driven fast reliability assessment of offshore structures based on real-time sensor data. In: Engineering Structures, v. 317 (Oktober 2024).

    https://doi.org/10.1016/j.engstruct.2024.118675

  2. Cheng, Ankang / Low, Ying Min (2024): A new metamodel for predicting the nonlinear time-domain response of offshore structures subjected to stochastic wave current and wind loads. In: Computers & Structures, v. 297 (Juli 2024).

    https://doi.org/10.1016/j.compstruc.2024.107340

  3. Zhao, Zhao / Low, Ying Min (2023): Efficient Method for Approximating the Joint Extreme Value Distribution of Multivariate Stationary Gaussian Processes. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 4 (April 2023).

    https://doi.org/10.1061/jenmdt.emeng-6881

  4. Lim, HyeongUk / Manuel, Lance / Low, Ying Min / Srinil, Narakorn (2022): A surrogate model for estimating uncertainty in marine riser fatigue damage resulting from vortex-induced vibration. In: Engineering Structures, v. 254 (März 2022).

    https://doi.org/10.1016/j.engstruct.2021.113796

  5. Chen, Ruifeng / Low, Ying Min (2021): Efficient long-term fatigue analysis of deepwater risers in the time domain including wave directionality. In: Marine Structures, v. 78 (Juli 2021).

    https://doi.org/10.1016/j.marstruc.2021.103002

  6. Leong, Darrell / Low, Ying Min / Kim, Youngkook (2020): Control variates for efficient long-term extreme analysis of mooring lines. In: Engineering Structures, v. 221 (Oktober 2020).

    https://doi.org/10.1016/j.engstruct.2020.111063

  7. Zhang, Xiaodong / Low, Ying Min / Koh, Chan Ghee (2020): Maximum entropy distribution with fractional moments for reliability analysis. In: Structural Safety, v. 83 (März 2020).

    https://doi.org/10.1016/j.strusafe.2019.101904

  8. Low, Ying Min (2016): Importance Sampling Technique for Simulating Time Histories for Efficient Rainflow Fatigue Analysis. In: Journal of Engineering Mechanics (ASCE), v. 142, n. 4 (April 2016).

    https://doi.org/10.1061/(asce)em.1943-7889.0001055

  9. Li, Feng Zi / Dwivedi, Ambuj / Low, Ying Min / Hong, Jian-Hao / Chiew, Yee-Meng (2013): Experimental Investigation on Scour under a Vibrating Catenary Riser. In: Journal of Engineering Mechanics (ASCE), v. 139, n. 7 (Juli 2013).

    https://doi.org/10.1061/(asce)em.1943-7889.0000546

  10. Wang, Zizhe / Low, Ying Min / Li, Binbin (2019): Stochastic analysis of the non-Gaussian airgap response of a semi-submersible using frequency domain analysis. In: Marine Structures, v. 67 (September 2019).

    https://doi.org/10.1016/j.marstruc.2019.102636

  11. Low, Ying Min / Huang, Xiaoxu (2017): Long-term extreme response analysis of offshore structures by combining importance sampling with subset simulation. In: Structural Safety, v. 69 (November 2017).

    https://doi.org/10.1016/j.strusafe.2017.08.001

  12. Low, Ying Min / Srinil, Narakorn (2016): VIV fatigue reliability analysis of marine risers with uncertainties in the wake oscillator model. In: Engineering Structures, v. 106 (Januar 2016).

    https://doi.org/10.1016/j.engstruct.2015.10.004

  13. Low, Ying Min (2016): A variance reduction technique for long-term fatigue analysis of offshore structures using Monte Carlo simulation. In: Engineering Structures, v. 128 (Dezember 2016).

    https://doi.org/10.1016/j.engstruct.2016.09.047

  14. Tong, Dong Jin / Low, Ying Min / Sheehan, John M. (2011): Nonlinear bend stiffener analysis using a simple formulation and finite element method. In: China Ocean Engineering, v. 25, n. 4 (Dezember 2011).

    https://doi.org/10.1007/s13344-011-0047-0

  15. Wang, Kunpeng / Low, Ying Min (2016): A simple parametric formulation for the seabed trench profile beneath a steel catenary riser. In: Marine Structures, v. 45 (Januar 2016).

    https://doi.org/10.1016/j.marstruc.2015.10.007

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