...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Hydroinformatics >A Novel Application Of A Multi-objective Evolutionary Algorithm In Open Channel Flow Modelling
【24h】

A Novel Application Of A Multi-objective Evolutionary Algorithm In Open Channel Flow Modelling

机译：多目标进化算法在明渠水流建模中的新应用

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The Shiono and Knight method (SKM) is a simple depth-averaged flow model, based on the RANS equations which can be used to estimate the lateral distributions of depth-averaged velocity and boundary shear stress for flows in straight prismatic channels with the minimum of computational effort. However, in order to apply the SKM, detailed knowledge relating to the lateral variation of the friction factor (f), dimensionless eddy viscosity (A) and a sink term representing the effects of secondary flow (Γ) are required, in this paper a multi-objective evolutionary algorithm is used to study the lateral variation and value of these parameters for simple trapezoidal channels over a wide range of aspect ratios through the model calibration process. Based on the available experimental data, four objectives are selected and the NSGA-II algorithm is applied to several datasets. The best answer for each set is then selected based on a proposed methodology. Rules relating f, A and r to the wetted parameter ratio (P_b/P_w) for a variety of situations have been developed which provide practical guidance for the engineer on choosing the appropriate parameters in the SKM model.
机译：Shiono和Knight方法（SKM）是一个简单的深度平均流量模型，基于RANS方程，可用于估计直角棱柱形通道中流量最小的深度平均速度和边界切应力的横向分布。计算工作量。但是，为了应用SKM，需要有关摩擦系数（f）的横向变化（f），无因次涡旋粘度（A）和代表二次流影响的沉项（Γ）的详细知识，在本文中通过模型校准过程，使用多目标进化算法研究宽宽比范围内的简单梯形通道的这些参数的横向变化和值。基于可用的实验数据，选择了四个目标，并将NSGA-II算法应用于多个数据集。然后根据建议的方法为每组选择最佳答案。已经开发出了将f，A和r与湿润参数比率（P_b / P_w）相关的规则，这些规则为工程师在SKM模型中选择合适的参数提供了实用指导。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号