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http://dx.doi.org/10.9765/KSCOE.2012.24.3.179

Influence of Water Depth on Climate Change Impacts on Caisson Sliding of Vertical Breakwater  

Kim, Seung-Woo (Department of Civil and Environmental Engineering, Seoul National University)
Kim, So-Yeon (Climate change & Coastal Disaster Research Department, Korea Ocean Research and Development Institute)
Suh, Kyung-Duck (Department of Civil and Environmental Engineering and Integrated Research Institute of Construction and Environmental Engineering, Seoul National University)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.24, no.3, 2012 , pp. 179-188 More about this Journal
Abstract
Performance analyses of vertical breakwaters were conducted for fictitiously designed breakwaters for various water depths to analyze the influence of climate change on the structures. The performance-based design method considering sea level rise and wave height increase due to climate change was used for the performance analysis. One of the problems of the performance-based design method is the large calculation time of wave transformation. To overcome this problem, the SWAN model combined with artificial neural network was used. The significant wave height and principal wave direction at the breakwater site are quickly calculated by using a trained neural network with inputs of deepwater significant wave height and principal wave direction, and tidal level. In general, structural stability becomes low due to climate change impacts, but the trend of stability is different depending on water depth. Outside surf zone, the influence of wave height increase becomes more significant, while that of sea level rise becomes negligible, as water depth increases. Inside surf zone, the influence of both wave height increase and sea level rise diminishes as water depth decreases, but the influence of wave height increase is greater than that of sea level rise. Reinforcement and maintenance policies for vertical breakwaters should be established with consideration of these results.
Keywords
climate change impacts; vertical breakwater; performance-based design method; artificial neural network;
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Times Cited By KSCI : 3  (Citation Analysis)
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