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Distribution of individual wave overtopping volumes on mound breakwaters

机译:丘防波堤上的单个波浪超顶量的分布

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Conventional mound breakwaters are usually designed to withstand low mean wave overtopping discharges and a low proportion of overtopping waves (P-ow). Existing formulas to estimate P-ow, and maximum individual wave overtopping volume are usually based on tests with high P-ow; this study is focused on mound breakwaters subjected to P-ow, 0.2. The performance of the 2-parameter Weibull and Exponential distributions is examined in order to describe individual wave overtopping volumes of mound breakwaters in non-breaking wave conditions. A new methodology is applied to 164 small-scale 2D physical tests to identify the number of overtopping waves, and the corresponding individual wave overtopping volumes. Utility functions are used to consider the relative relevance of the observed data: in this study, a quadratic utility function depending on all the individual wave overtopping volumes and step utility functions with 10%, 30% and 50% of the highest volumes are used to fit the Weibull and Exponential distributions. In this study, a new estimator of P-ow is proposed to improve the predictions required to estimate the maximum individual wave overtopping volume. Existing estimators of P-ow, underpredict the largest values of P-ow, measured in the physical tests. The parameters fitted to the Weibull and Exponential distributions using the quadratic utility function provide estimations of the dimensionless maximum individual wave overtopping volume with relative mean squared errors rMSE = 10.4% and 10.6%, respectively. When CLASH Neural Network-estimated mean overtopping rates are used to predict the maximum individual wave overtopping with the quadratic utility function, the 2-parameter Weibull and Exponential distributions provide rMSE = 31.6% and rMSE = 33.3%, respectively. The new estimators proposed in this study improve the predictions of P-ow and maximum individual wave overtopping volumes on conventional mound breakwaters designed for low wave overtopping rates.
机译:常规的土墩防波堤通常设计用于承受低的平均波超顶流量和低比例的超顶波(P-ow)。现有的估算Pow的公式以及最大的单波越过体积通常基于高Pow的测试。这项研究的重点是承受P-ow(<0.2)的土墩防波堤。为了描述非破裂波浪条件下丘防波堤的单个波浪越过顶部的体积,检查了2参数的Weibull和指数分布的性能。一种新的方法应用于164个小型2D物理测试,以识别越过顶峰的波的数量以及相应的单个越过顶峰的体积。效用函数用于考虑观测数据的相对相关性:在本研究中,取决于所有单个波浪越过体积的二次效用函数和最大体积的10%,30%和50%的阶跃效用函数用于拟合Weibull和指数分布。在这项研究中,提出了一种新的P-ow估计器,以改善估计最大单个波越过量所需的预测。现有的P-ow估算器低估了物理测试中测得的P-ow最大值。使用二次效用函数拟合到威布尔分布和指数分布的参数提供了无因次最大单个波越过体积的估计,相对均方误差rMSE = 10.4%和10.6%。当使用CLASH神经网络估计的平均超调率通过二次效用函数预测最大单波超调时,两参数Weibull和指数分布分别提供rMSE = 31.6%和rMSE = 33.3%。在这项研究中提出的新估算器改进了为低波浪超速率设计的常规土墩防波堤的P-ow和最大单个波浪超顶量的预测。

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