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基于遗传算法的面板堆石坝土石方调配研究 被引量:10

Research on the Earthwork Allocation of Concrete Face Rockfill Dam Based on Genetic Algorithm
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摘要 土石方调配是大型水电工程建设项目的核心问题之一,对工程施工进度、质量及造价有十分重要的意义,合理的土石方调配方案对整个工程顺利进行具有至关重要的作用。针对河南五岳抽水蓄能电站上水库面板堆石坝土石方调配困难的问题,在对比甄选相关问题解决方法的基础上,改进了传统方法,采用系统分析的方法,并利用遗传算法对问题进行求解。在数学模型方面,以总调配费用最低为目标,深入而细致地考虑了各种实际施工中的约束条件,增强模型的准确性;在程序方面,基于Microsoft Visual Studio C#语言自主编程操作简单、界面友好、适用性强的软件,通过软件确定土石方最优调配方案,并结合实际工程验证了此次研究的合理性和实用性。 Earthwork allocation scheme is one of the core issues of large-scale hydropower construction projects,which is of great significance to the construction progress,quality and cost of the project.A reasonable earthwork allocation scheme is of vital importance to the success of the whole project.In view of the difficulty of earth rock allocation of face rockfill dam of upper reservoir of Wuyue Pumped Storage Power Station in Henan Province,based on an analysis of solutions to similar problems,this paper adopts the method of system analysis,and uses genetic algorithm to solve the problem.In the aspect of mathematical model,taking the lowest total deployment cost as the goal,the constraints in various practical construction are considered deeply and carefully to enhance the accuracy of the model.In the aspect of program,based on Microsoft Visual Studio C#language,a software with simple operation,friendly interface and strong applicability is developed.Through the software,the optimal allocation scheme of earthwork is determined,and the rationality and practicability of the allocation system are verified in combination with actual projects.
作者 赵瑜 陈传宇 张建伟 孙凯 ZHAO Yu;CHEN Chuan-yu;ZHANG Jian-wei;SUN Kai(College of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China;School of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450011, China)
出处 《中国农村水利水电》 北大核心 2020年第11期174-178,共5页 China Rural Water and Hydropower
基金 河南新华五岳抽水蓄能发电有限公司科研项目(XHKY2018-03)。
关键词 土石方调配 遗传算法 系统应用 面板堆石坝 earthwork allocation genetic algorithm system application concrete faced rockfill dam
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