...
首页> 外文期刊>The Arabian Journal for Science and Engineering. Section B, Engineering >SIMULTANEOUS LAYOUT AND PIPE SIZE OPTIMIZATION OF PIPE NETWORKS USING GENETIC ALGORITHM
【24h】

SIMULTANEOUS LAYOUT AND PIPE SIZE OPTIMIZATION OF PIPE NETWORKS USING GENETIC ALGORITHM

机译:基于遗传算法的管道网络同时布局与管道尺寸优化

获取原文
获取原文并翻译 | 示例

摘要

A genetic algorithm is used for the simultaneous layout and size optimization of pipe networks. A typical pipe network is a collection of pipes, reservoirs, pumps, and different kinds of valves connected to each other in order to meet specified demand at nodes. An engineering concept of reliability is used in which the number of independent paths from source nodes to each of the demand nodes is considered as a measure of reliability. The method starts with a layout which includes all possible links. The method is capable of designing a layout of predefined reliability including tree-like and looped networks. It is shown that a layout optimization of network followed by size optimization does not lead to an optimal or a near-optimal solution. This emphasizes the need for simultaneous layout and size optimization of networks if an optimal solution is desired. The performance of the method for layout optimization of pipe networks is tested against two benchmark examples in the literature and the results are presented. The first example is considered to show the necessity of simultaneous layout and size optimization even for the simple tree networks, while the second example is considered to illustrate the efficiency of the proposed method for layout and size optimization of networks with different level of reliabilities.
机译:遗传算法用于管网的同时布局和尺寸优化。一个典型的管网是一组管道,蓄水池,泵和各种相互连接的阀门的集合,以满足节点上的特定需求。使用可靠性的工程概念,其中将从源节点到每个需求节点的独立路径的数量视为可靠性的度量。该方法从包含所有可能链接的布局开始。该方法能够设计包括树状和环形网络的预定义可靠性的布局。结果表明,网络布局优化后进行尺寸优化并不能带来最佳解决方案或接近最佳解决方案。如果需要最佳解决方案,则强调需要同时进行网络布局和大小优化。针对文献中的两个基准示例测试了管网布局优化方法的性能,并给出了结果。认为第一个示例显示了即使对于简单的树形网络,也需要同时进行布局和大小优化,而考虑第二个示例来说明所提出的方法在具有不同可靠性级别的网络中进行布局和大小优化的效率。

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