...
首页> 外文期刊>Journal of Hydroinformatics >A cost model with several hydraulic constraints for optimizing in practice a trapezoidal cross section
【24h】

A cost model with several hydraulic constraints for optimizing in practice a trapezoidal cross section

机译:具有多个水力约束的成本模型,用于在实践中优化梯形横截面

获取原文
获取原文并翻译 | 示例
           

摘要

Open channel structures are essential to infrastructure networks and expensive to manufacture. Optimizing the design of channel structures can reduce the total cost of a channel's length, including costs of lining, earthwork, and water lost through seepage and evaporation. The present research aims to present various optimization models towards the design of trapezoidal channel cross section. First, a general resistance equation was applied as a constraint. Next, a genetic algorithm (GA) was used to determine the optimal geometry of a trapezoidal channel section based on several parameters, i. e., depth, bottom width, and side slope. Eight different models were proposed and evaluated with no other constraint besides financial cost as well as with a normal depth, flow velocity, Froude number, top width, and by ignoring the cost of seepage. Numerical outcomes obtained by the GA are compared to previous studies in order to determine the most efficient model. Results from a single application indicate that the restriction of depth, velocity, and Froude number can increase the total cost, while restriction of the top width can decrease the cost of the construction. Also, the solution for various example problems incorporating different discharge values and bed slopes caused increase and decrease in cost, respectively.
机译:明渠结构对基础设施网络至关重要,制造成本昂贵。优化通道结构的设计可以减少通道长度的总成本,包括衬砌,土方工程以及因渗漏和蒸发损失的水的成本。本研究旨在为梯形通道横截面的设计提出各种优化模型。首先,将一般电阻方程式用作约束条件。接下来,基于几个参数,即遗传算法(GA),用于确定梯形通道截面的最佳几何形状。例如,深度,底部宽度和侧面坡度。提出并评估了八种不同的模型,除了财务成本外,没有其他限制,并且具有正常的深度,流速,弗洛德数,顶部宽度,并且忽略了渗流成本。将遗传算法获得的数值结果与以前的研究进行比较,以确定最有效的模型。一次申请的结果表明,深度,速度和Froude数的限制可能会增加总成本,而顶部宽度的限制会降低建筑成本。而且,针对各种示例问题的解决方案,其结合了不同的排放值和床斜率,分别导致成本的增加和减少。

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