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Individual wave overtopping volumes on mound breakwaters in breaking wave conditions and gentle sea bottoms

机译:在破碎波条件和温和的海底的土墩防波堤上的个体波浪上运行

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摘要

Mound breakwaters are usually designed to limit the mean wave overtopping rate (q) or the maximum individual wave overtopping volume (V-max). However, rarely do studies focus on wave overtopping volumes on breakwaters in depth-limited breaking wave conditions. This study analyzes 2D physical tests on mound breakwaters with relevant overtopping rates (0.33 = R-c/H-m0 = 2.83) and three armor layers (Cubipod (R)-1L, rock-2L and cube-2L) in depth-limited breaking wave conditions (0.20 = H-m0/h(s) = 0.90) and with two bottom slopes (m = 1/25 and m = 1/50). The 2-parameter Weibull distribution was used to estimate V-max* = V-max/(gH(m0)T(01)(2)) with co-efficient of determination R-2 = 83.3%. In this study, the bottom slope (m = 1/50 and m = 1/25) did not significantly influence V-mox or the number of overtopping events, N-ow. During the design phase of a mound breakwater, q is required to use the methods given in the literature to estimate Thus, q must be estimated for design purposes when measured q is not available. In this study, CLASH Neural Network (CLASH NN) was used to estimate q with R-2 = 63.6%. If the 2-parameter Weibull distribution proposed in this study is used to estimate V-max with q estimated using CLASH NN, the prediction error of V-max* is R-2 = 61.7%. With the method presented in this study, the ratio between estimated and measured falls within the range 1/2 to 2 (90% error band) when q is estimated with CLASH NN. The new estimators derived in this study provide good predictions of N-ow and V-max with a method simpler than those in the literature on overtopped mound breakwaters in depth-limited breaking wave conditions on gentle sea bottoms (1/50 = m = 1/25).
机译:MOUND BREAKVATES通常设计用于限制平均波浪转换率(Q)或最大单独波转换体积(V-MAX)。然而,很少研究研究深度限制断裂波条件的波波上的波浪上的波浪。本研究分析了用相关的概述速率(0.33 <= rc / H-M0 <= 2.83)和三个铠装层(Cubipod(R)-1L,Rock-2L和Cube-2L)进行了2D的物理测试,深度限制断裂波条件(0.20 <= H-M0 / h(s)<= 0.90),两个底部斜率(m = 1/25和m = 1/50)。 2-参数Weibull分布用于估计V-MAX * = V-MAX /(GH(M0)T(01)(2)),其确定R-2 = 83.3%。在本研究中,底部斜率(m = 1/50和m = 1/25)没有显着影响V-MOX或泛型事件的数量N-OW。在Mound Breakwater的设计阶段期间,Q需要使用文献中给出的方法来估计,因此在测量的Q不可用时必须估计Q。在本研究中,克什神经网络(Clash NN)用于估计Q Q = 63.6%。如果在本研究中提出的2参数Weibull分布用于使用Clash NN估计Q估计Q-MAX,则V-MAX *的预测误差为R-2 = 61.7%。利用本研究中呈现的方法,估计和测量之间的比率在1/2至2(90%误差带)的范围内,当用Clash Nn估计Q时。衍生于本研究的新估算器提供了对N-OW和V-MAX的良好预测,其方法比在平缓海底的深度限制破碎波条件下的螺纹波浪条件中的文献中的方法更简单(1/50 <= m < = 1/25)。

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