@article{hwang_kim_kim_kim_lee_2024, title={Effects of Floating States on Collision Forces of Drifting Containers Caused by Solitary Wave Inundation}, ISSN={["1793-7116"]}, DOI={10.1142/S1793431124500106}, abstractNote={Journal of Earthquake and TsunamiAccepted Papers No AccessEffects of Floating States on Collision Forces of Drifting Containers Caused by Solitary Wave InundationTaegeon Hwang, Taeyoon Kim, Jiwon Kim, Yeonjoong Kim, and Woo-Dong LeeTaegeon Hwang, Taeyoon Kim Search for more papers by this author , Jiwon Kim Search for more papers by this author , Yeonjoong Kim Search for more papers by this author , and Woo-Dong Leehttps://orcid.org/0000-0001-7776-4664 Search for more papers by this author https://doi.org/10.1142/S1793431124500106 Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 17 August 2023 Accepted 8 March 2024 PDF download}, journal={JOURNAL OF EARTHQUAKE AND TSUNAMI}, author={Hwang, Taegeon and Kim, Taeyoon and Kim, Jiwon and Kim, Yeonjoong and Lee, Woo-Dong}, year={2024}, month={Apr} }
 @article{kim_lee_2024, title={Prediction of wave runup on beaches using interpretable machine learning}, volume={297}, ISSN={["1873-5258"]}, DOI={10.1016/j.oceaneng.2024.116918}, journal={OCEAN ENGINEERING}, author={Kim, Taeyoon and Lee, Woo-Dong}, year={2024}, month={Apr} }
 @article{kim_hwang_baek_hong_kim_lee_2023, title={Experimental Investigations Using Computer Vision for Debris Motion Generated by Solitary Waves}, ISSN={["1793-7116"]}, DOI={10.1142/S1793431123500161}, abstractNote={ A tsunami created by the momentary release of a large amount of energy accumulated in the ocean crust destroys coastal structures and generates considerable debris, posing a serious threat to coastal communities. Hence, understanding the movement characteristics of drifting attributed to tsunamis for coastal disaster prevention is necessary. In this study, a color-based Debris mOtion Tracking (DOT) model is developed to understand the behavioral characteristics of drifting caused by solitary waves. The behavioral characteristics of drifting are analyzed quantitatively based on the weight of the debris, scale of solitary waves, and revetment type, which have not been considered previously. The DOT model tracks the drifting behavior more accurately than the existing commercial programs. In a laboratory experiment, the kinetic energy, and maximum debris velocity increase with an increase in the magnitude of solitary waves. An analysis of the drifting characteristics based on revetment type reveals that the initial acceleration of drifting in the wave absorbing revetment (WAR) is higher than that in the vertical revetment (VR). Velocities of vertical and horizontal flow develop in VR and WAR, respectively, and thus the momentum flux acted more strongly. Further, overtopping the wave characteristics based on the revetment type determines the drifting behavior. }, journal={JOURNAL OF EARTHQUAKE AND TSUNAMI}, author={Kim, Taeyoon and Hwang, Taegeon and Baek, Seungil and Hong, Sunghoon and Kim, Jiwon and Lee, Woo-Dong}, year={2023}, month={Jun} }
 @article{lee_mizutani_kim_2023, title={Experimental analysis of Tsunami-Current interaction in river channel}, volume={291}, ISSN={["1096-0015"]}, DOI={10.1016/j.ecss.2023.108434}, abstractNote={The 2011 Tohoku Tsunami caused severe human and property damage along the east coast of Japan. In particular, the tsunami introduced through the river mouth damaged inland areas as it traveled up the river. In this study, a laboratory experiment was performed by applying funnel-shaped river mouth characteristics to investigate the hydraulic characteristics of a tsunami traveling up a river. In the river channel, the tsunami and wave heights were increased by the non-linear interaction between the tsunami and river current, which intensified as the river flow velocity increased. The river current in the opposite direction delayed tsunami propagation, thereby reducing the average celerity. The dispersion relation of the tsunami increased the time difference between the large first peak and small second peak. Additionally, the river current increased the effective volume of the tsunami wave peak. These hydraulic phenomena occurred because the flow characteristics of the tsunami are stronger than those of oscillating waves in the non-linear interaction between the tsunami and river current.}, journal={ESTUARINE COASTAL AND SHELF SCIENCE}, author={Lee, Woo-Dong and Mizutani, Norimi and Kim, Taeyoon}, year={2023}, month={Sep} }
 @article{kim_lee_2023, title={Prediction of wave overtopping discharges at coastal structures using interpretable machine learning}, ISSN={["1793-6292"]}, DOI={10.1080/21664250.2023.2233312}, abstractNote={ABSTRACT Appropriate estimation and prediction of wave overtopping discharges are very important in terms of economics, port structure stability, and port operation. In recent years, machine learning (ML) techniques, which predict by finding statistical structures from input/output data using computers, have generated interest. However, as the complexity of ML models increases, interpreting their results becomes increasingly difficult. Interpretation of ML results is an important part in developing an efficient structure design strategy for improved wave overtopping discharge estimation. Therefore, in this study, eight linear/nonlinear ML models were applied to the same data, and a pipeline model for selecting an ML model suitable for data characteristics was developed. In addition, the importance of variables related to the prediction of wave overtopping discharges and their correlations were analyzed by interpretable ML. The research results showed that the extreme gradient boosting model had the highest prediction accuracy and significantly reduced the error. Accordingly, a data-based model can be a new alternative for analyzing the complex physical relationships in the field of coastal engineering and used as a starting point toward structure design and development for coastal disaster prevention.}, journal={COASTAL ENGINEERING JOURNAL}, author={Kim, Taeyoon and Lee, Woo-Dong}, year={2023}, month={Jul} }