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Algorithm of the Risk of Ship-Bridge Collision Considering Ship’s Dimension

 Algorithm of the Risk of Ship-Bridge Collision Considering Ship’s Dimension
Autor(en): ,
Beitrag für IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022, veröffentlicht in , S. 1480-1488
DOI: 10.2749/nanjing.2022.1480
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The issue of ship collision with bridge is very important topic in the academic research, however, the studies only regard the ship as a particle at present, ignoring the size of the ship, which ca...
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Bibliografische Angaben

Autor(en): (Shanghai Maritime University, Shanghai, China)
(Shanghai Maritime University, Shanghai, China)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022
Veröffentlicht in:
Seite(n): 1480-1488 Anzahl der Seiten (im PDF): 9
Seite(n): 1480-1488
Anzahl der Seiten (im PDF): 9
DOI: 10.2749/nanjing.2022.1480
Abstrakt:

The issue of ship collision with bridge is very important topic in the academic research, however, the studies only regard the ship as a particle at present, ignoring the size of the ship, which cause the accuracy of the active early warning system cannot meet the requirements of practice. In this paper, proposes the algorithm of the risk of ship-bridge collision considering the ship’s dimension, including the LOA and BMAX. First, utilizing the mercator projection method to make convertion of coordinate system. Secondly, analysing the relationship of geometric position based on the ships, bridge piers and channel to constructe the algorithm of the risk ship collision with bridge. Thirdly, the active early warning strategy is proposed depending on the value from the descripted algorithm. Finally, the reliability of the algorithm is validated by case study. It can improve the accuracy of the risk of ship-bridge collision significantly, and conducive to the application of the warning system.

Copyright: © 2022 International Association for Bridge and Structural Engineering (IABSE)
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