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

  1. Lee, Jaehak / Kim, Yonghwan / Lee, Jae-Hoon / Ahn, Yangjun (2024): Prediction of Wave-Induced Nonlinear Ship Motions Based on an IRF-LSTM Hybrid Approach. In: International Journal of Offshore and Polar Engineering, v. 34, n. 2 (1 Juni 2024).

    https://doi.org/10.17736/ijope.2024.sv11

  2. Lee, Jae-Hoon / Lee, Jaehak / Kim, Yonghwan / Ahn, Yangjun (2023): Application of Machine Learning for Prediction of Wave-induced Ship Motion. In: International Journal of Offshore and Polar Engineering, v. 33, n. 2 (1 Juni 2023).

    https://doi.org/10.17736/ijope.2023.mt33

  3. Ahn, Yangjun / Lee, Jeoungkyu / Park, Taehyun / Kim, Yonghwan (2023): Long-term approach for assessment of sloshing loads in LNG carrier, part II: Grouping method. In: Marine Structures, v. 89 (Mai 2023).

    https://doi.org/10.1016/j.marstruc.2023.103398

  4. Ahn, Yangjun / Lee, Jeoungkyu / Park, Taehyun / Kim, Yonghwan / Kwon, Chang Seop / Jung, Jun Hyung / Choi, Mun-gwan / Kim, Sang-Yeob (2023): Long-term approach for assessment of sloshing loads in LNG carrier, Part I: Comparison of Short- and Long-term approaches. In: Marine Structures, v. 89 (Mai 2023).

    https://doi.org/10.1016/j.marstruc.2023.103381

  5. Lee, Jeoungkyu / Ahn, Yangjun / Kim, Yonghwan / Jung, Junhyung (2022): Sloshing Phenomenon Occurring in the Foremost Two Tanks of LNG Carrier. In: International Journal of Offshore and Polar Engineering, v. 32, n. 4 (1 Dezember 2022).

    https://doi.org/10.17736/ijope.2022.pf23

  6. Ahn, Yangjun / Kim, Yonghwan (2021): Data mining in sloshing experiment database and application of neural network for extreme load prediction. In: Marine Structures, v. 80 (November 2021).

    https://doi.org/10.1016/j.marstruc.2021.103074

  7. Joo, Gwonho / Kim, Yonghwan / Kim, Geunyoung / Song, Jinyoung / Lee, Miran / Choe, Jong Kwon / Choi, Yongju (2021): Perfluorochemicals in Korean Wastewater Treatment Plants: Implications on Sources and Monitoring. In: KSCE Journal of Civil Engineering, v. 25, n. 6 (März 2021).

    https://doi.org/10.1007/s12205-021-0956-2

  8. Kim, Jieung / Kim, Yonghwan / Kim, Sang-Yeob / Lee, Kwang-Min / Sung, Young-Jae (2020): Experimental Study of Slosh-induced Loads on an LNG Fuel Tank of a Container Ship. In: International Journal of Offshore and Polar Engineering, v. 30, n. 2 (1 Juni 2020).

    https://doi.org/10.17736/ijope.2020.jc766

  9. Kim, Taeyoung / Kim, Yonghwan / Gou, Ying (2011): Motion responses of a liquefied natural gas-floating production storage and offloading unit coupled with sloshing excitation. In: The IES Journal Part A: Civil & Structural Engineering, v. 4, n. 3 (August 2011).

    https://doi.org/10.1080/19373260.2011.582243

  10. Ahn, Yangjun / Kim, Yonghwan / Kim, Sang-Yeob (2019): Experimental Study and Method of Sloshing Model Test Considering Gas-Liquid Density Ratio. In: International Journal of Offshore and Polar Engineering, v. 29, n. 3 (1 September 2019).

    https://doi.org/10.17736/ijope.2019.ts18

  11. Ahn, Yangjun / Kim, Sang-Yeob / Kim, Jieung / Lee, Jeoungkyu / Kim, Yonghwan (2019): Experimental Comparison of Sloshing Loads on Weather Side and Lee Side for LNG Carrier Cargo Tanks. In: International Journal of Offshore and Polar Engineering, v. 29, n. 3 (1 September 2019).

    https://doi.org/10.17736/ijope.2019.jc742

  12. Park, Dong-Min / Kim, Yonghwan (2019): Numerical Study on Change of Added Resistance due to Incident Waves in Finite Water Depth. In: Journal of Waterway, Port, Coastal, and Ocean Engineering, v. 145, n. 6 (November 2019).

    https://doi.org/10.1061/(asce)ww.1943-5460.0000526

  13. Ahn, Yangjun / Kim, Yonghwan / Kim, Sang-Yeob (2019): Database of model-scale sloshing experiment for LNG tank and application of artificial neural network for sloshing load prediction. In: Marine Structures, v. 66 (Juli 2019).

    https://doi.org/10.1016/j.marstruc.2019.03.005

  14. Kwon, Chang Seop / Kim, Hyun Joe / Park, Jong Jin / Lee, Dong Yeon / Kim, Booki / Kim, Yonghwan (2018): Sloshing Load Assessments for a Midscale Single-Row FLNG. In: International Journal of Offshore and Polar Engineering, v. 28, n. 3 (September 2018).

    https://doi.org/10.17736/ijope.2018.jc720

  15. Kim, Yonghwan / Yang, Kyung-Kyu / Kim, Jung-Hyun / Zhu, Zhang (2017): Study of Water-entry Impact of Wedge and Ship-like Section Using Potential Theories and CFD. In: International Journal of Offshore and Polar Engineering, v. 27, n. 2 (Juni 2017).

    https://doi.org/10.17736/ijope.2017.jc670

  16. Kim, Yonghwan / Lee, Jeoungkyu / Kim, Jieung (2017): Experimental Observation of the Effects of Liquid Temperature and Bubbles on Impact Pressure Inside Gas Pocket. In: International Journal of Offshore and Polar Engineering, v. 27, n. 1 (März 2017).

    https://doi.org/10.17736/ijope.2017.jc681

  17. Yang, Kyung-Kyu / Kim, Jieung / Kim, Yonghwan / Kim, Sang-Yeob / Zhu, Zhang (2016): PIV Measurement of Violent Sloshing Flows and Comparison with CFD Computations. In: International Journal of Offshore and Polar Engineering, v. 26, n. 3 (September 2016).

    https://doi.org/10.17736/ijope.2016.mk48

  18. Kim, Kyong-Hwan / Bang, Je-Sung / Kim, Jung-Hyun / Kim, Yonghwan / Kim, Seung-Jo / Kim, Yooil (2013): Fully coupled BEM-FEM analysis for ship hydroelasticity in waves. In: Marine Structures, v. 33 (Oktober 2013).

    https://doi.org/10.1016/j.marstruc.2013.04.004

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