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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Choi, Youngjin / Lee, Seung-Jung (2024): Probabilistic Fatigue Crack Growth Prediction for Pipelines with Initial Flaws. Dans: Buildings, v. 14, n. 6 (19 juin 2024).

    https://doi.org/10.3390/buildings14061775

  2. Kwon, Kyungrok / Choi, Hyok Chu / Ji, Koochul / Choi, Youngjin / Kong, Jung Sik (2024): Fragility Assessment of Installation Defects in Industrial Standing Seam Metal Roof Subjected To Wind Loads. Dans: Journal of Civil Engineering and Management, v. 30, n. 5 (27 mai 2024).

    https://doi.org/10.3846/jcem.2024.21451

  3. Choi, Youngjin (2024): Increasing the Utilization of Solar Energy through the Performance Evaluation of Air-Based Photovoltaic Thermal Systems. Dans: Buildings, v. 14, n. 5 (24 avril 2024).

    https://doi.org/10.3390/buildings14051219

  4. Choi, Youngjin / Kwon, Kyungrok / Choi, Yangrok / Ree, Jin-Han / An, Xiangyi / Kong, Jungsik (2023): Seismic evaluation of buried gas pipelines based on the fault slip tendency in South Korea. Dans: Tunnelling and Underground Space Technology, v. 142 (décembre 2023).

    https://doi.org/10.1016/j.tust.2023.105436

  5. Choi, Youngjin / Kong, Jungsik (2023): Development of Data-based Hierarchical Learning Model for Predicting Condition Rating of Bridge Members over Time. Dans: KSCE Journal of Civil Engineering, v. 27, n. 10 (septembre 2023).

    https://doi.org/10.1007/s12205-023-0153-6

  6. Choi, Youngjin / Choi, Yangrok / Kwon, Kyungrok / Baek, Woohyun / Kong, Jungsik (2023): Preventive Structural Risk Assessment of Buried Gas Pipelines in Liquefaction of Ground. Dans: KSCE Journal of Civil Engineering, v. 27, n. 3 (7 janvier 2023).

    https://doi.org/10.1007/s12205-023-1209-3

  7. Kim, Hyemi / Sumiyoshi, Daisuke / Choi, Youngjin (2021): Development of flow rate and equipment simulation model for commercial building HVAC&R system by data-driven method. Dans: Journal of Building Engineering, v. 44 (décembre 2021).

    https://doi.org/10.1016/j.jobe.2021.103303

  8. Kim, Hyun Bae / Mae, Masayuki / Choi, Youngjin / Heo, Jaeyoung (2021): Applicability of phase change material according to climate zones as defined in ASHRAE standard 169-2013. Dans: Building and Environment, v. 196 (juin 2021).

    https://doi.org/10.1016/j.buildenv.2021.107771

  9. Kim, Hyun Bae / Mae, Masayuki / Choi, Youngjin / Kiyota, Takeshi (2017): Experimental analysis of thermal performance in buildings with shape-stabilized phase change materials. Dans: Energy and Buildings, v. 152 (octobre 2017).

    https://doi.org/10.1016/j.enbuild.2017.07.076

  10. Lee, Seulah / Sung, Minchang / Choi, Youngjin (2020): Wearable fabric sensor for controlling myoelectric hand prosthesis via classification of foot postures. Dans: Smart Materials and Structures, v. 29, n. 3 (27 janvier 2020).

    https://doi.org/10.1088/1361-665x/ab6690

  11. Kim, Hyun Bae / Mae, Masayuki / Choi, Youngjin (2017): Application of shape-stabilized phase-change material sheets as thermal energy storage to reduce heating load in Japanese climate. Dans: Building and Environment, v. 125 (novembre 2017).

    https://doi.org/10.1016/j.buildenv.2017.08.038

  12. Lim, Jongyeon / Akashi, Yasunori / Ooka, Ryozo / Kikumoto, Hideki / Choi, Youngjin (2017): A probabilistic approach to the energy-saving potential of natural ventilation: Effect of approximation method for approaching wind velocity. Dans: Building and Environment, v. 122 (septembre 2017).

    https://doi.org/10.1016/j.buildenv.2017.06.008

  13. Ann, Hojune / Choi, Youngjin / Lee, Jin Hyuk / Jang, Young Ik / Kong, Jung Sik (2019): Semiquantitative Fire Risk Grade Model and Response Plans on a National Highway Bridge. Dans: Advances in Civil Engineering, v. 2019 ( 2019).

    https://doi.org/10.1155/2019/5154309

  14. Oh, Je-Keun / Jang, Giho / Oh, Semin / Lee, Jeong Ho / Yi, Byung-Ju / Moon, Young Shik / Lee, Jong Seh / Choi, Youngjin (2009): Bridge inspection robot system with machine vision. Dans: Automation in Construction, v. 18, n. 7 (novembre 2009).

    https://doi.org/10.1016/j.autcon.2009.04.003

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