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Metamodel-based design of alluvial channels at incipient motion subjected to seepage

机译:基于元模型的冲积通道在渗流作用下的初始运动

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The design of an alluvial channel affected by seepage requires information about five basic parameters: particle size, water depth, energy slope, seepage velocity, and average velocity. The conventional approach to predicting the incipient motion in an alluvial channel cannot be applied in the case of a channel affected by seepage. Metamodelling techniques are nowadays widely used in engineering design to simulate a complex system. Here, a metamodel is described which employs the radial-basis function (RBF) network to predict the seepage velocity and energy slope based on experimental data under incipient motion conditions. It was found that the model fits experimental data very well and provides predictions for the design. With the help of the metamodel generated by the RBF network, design curves based on the RBF metamodel are presented for use in designing an alluvial channel when it is affected by seepage.
机译:受渗流影响的冲积河道的设计需要有关五个基本参数的信息:粒径,水深,能量斜率,渗流速度和平均速度。在河道受渗流影响的情况下,无法采用传统的方法预测冲积河道的初期运动。如今,元建模技术已广泛用于工程设计中以模拟复杂的系统。这里,描述了一种元模型,该元模型使用径向基函数(RBF)网络基于在初始运动条件下的实验数据来预测渗透速度和能量斜率。发现该模型非常适合实验数据并为设计提供了预测。借助RBF网络生成的元模型,提出了基于RBF元模型的设计曲线,以用于设计受渗流影响的冲积河道。

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