DOI QR코드

DOI QR Code

Location Tracking of Drifting Container by Solitary Wave Load Using a Motion Analysis Program

  • Taegeon Hwang (Department of Ocean Civil Engineering, Gyeongsang National University) ;
  • Jiwon Kim (Offshore Infrastructure Team, Harbor Department, Yooshin Engineering Corporation) ;
  • Dong-Ha Lee (Department of Integrated Energy and Infra System, Kangwon National University) ;
  • Jae-Cheol Lee (Department of Integrated Energy and Infra System, Kangwon National University)
  • 투고 : 2023.08.03
  • 심사 : 2023.08.23
  • 발행 : 2023.08.31

초록

Objects adrift can cause considerable damage to coastal infrastructure and property during tsunami and storm surge events. Despite the potential for harm, the drifting behavior of these objects remains poorly understood, thereby hindering effective prediction and mitigation of collision damage. To address this gap, this study employed a motion analysis program to track a drifting container's location using images from an existing laboratory experiment. The container's trajectory and velocity were calculated based on the positions of five markers strategically placed at its four corners and center. Our findings indicate that the container's maximum drift velocity and distance are directly influenced by the scale of the solitary wave and inversely related to the container's weight. Specifically, heavier containers are less likely to be displaced by solitary waves, while larger waves can damage coastal structures more. This study offers new insights into container drift behavior induced by solitary waves, with implications for enhancing coastal infrastructure design and devising mitigation strategies to minimize the risk of collision damage.

키워드

과제정보

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1F1A1062767).

참고문헌

  1. Charvet, I., Suppasri, A., Kimura, H., Sugawara, D., & Imamura, F. (2015). A multivariate generalized linear tsunami fragility model for Kesennuma City based on maximum flow depths, velocities and debris impact, with evaluation of predictive accuracy. Journal of Natural Hazards, 79(3), 2073‒2099.
  2. Digital Image Technology Corporation. (DITECT). (2023). 2D/3D motion analysis software [DIPP-Motion V]. Digital Image Technology Corporation. https://www.ditect.co.jp/en/software/dipp_motionv.html
  3. Kim, T., Hwang, T., Baek, S., Hong, S., Kim, J., & Lee, W.-D. (2023). Experimental investigations using computer vision for debris motion generated by solitary waves. Journal of Earthquake and Tsunami, 291, 108434.
  4. Lee, W. -D., Choi, S., Kim, T., & Yeom, G. -S. (2022a). Comparison of solitary wave overtopping characteristics between vertical and wave absorbing revetments. Ocean Engineering, 256, 111542.
  5. Lee, W. -D., Hwang, T., & Kim, T. (2022b). Inundation characteristics of solitary waves according to revetment type. Water, 14, 3814.
  6. Ma, X., Zhang, W., Li, X. & Ding, Z. (2021). Evaluating tsunami damage of wood residential buildings in a coastal community considering waterborne debris from buildings. Engineering Structures, 244, 112761.
  7. Naito, C., Cercone, C., Riggs, H. R., & Cox, D. (2014). Procedure for site assessment of the potential for tsunami debris impact. Journal of Waterway Port Coastal and Ocean Engineering, 140, 223‒232.
  8. Palermo, D., Nistor, I., Saatcioglu, M., & Ghobarah, A. (2013). Impact and damage to structures during the 27 February 2010 Chile tsunami. Canadian Journal of Civil Engineering, 40(8), 750‒758.
  9. Stolle, J., Krautwald, C., Robertson, I., Achiari, I., Mikami, T., Nakamura, R., Takabatake, T., Nishida, Y., Shibayama, T., Esteban, M., Nistor, I., & Goseberg. N. (2020). Engineering lessons from the 28 September 2018 Indonesian tsunami: debris loading. Canadian Journal of Civil Engineering, 47(1), 1-12. https://doi.org/10.1139/cjce-2019-0049