摘要
中山河闸闸门老化、破损严重,已不能适应和满足城市建设的需要,需建具有挡洪、行洪、蓄水功能的新闸。针对中山河闸的功能要求及施工条件,提出并比选了较为适合的闸址拆建方案及闸型,采用ANNs-GA快速搜索优化方法对闸底板尺寸进行优化,并对优化结果进行校核。结果表明,采用ANNs-GA进行优化,搜索过程简单快捷,搜索时间短,搜索结果能够满足要求。
Because the Zhongshan sluice is seriously damaged and aging, it does not meet the needs of urban construction. It is very necessary to build new sluice with flood control, flood discharge and water storage functions. According to the functional requirements and construction conditions of Zhongshan sluice, a more suitable removal and construction scheme and sluice type are proposed. ANNs-GA fast search and optimization method is adopted to optimize the size of the sluice floor, and the optimization results are analyzed. The results show that the ANNs-GA optimization search process is simple and fast, the search time is short and the search results can meet the need.
作者
陈照
黄淑娟
温少林
Chen Zhao;Huang Shujuan;Wen Shaolin(Nanjing Water Planning and Designing Institute.Corp.Ltd,Nanjing 210006,Jiangsu,China;Nanjing Sancha River Estuary Sluice Management Office,Nanjing 210036,Jiangsu,China)
出处
《黄河水利职业技术学院学报》
2018年第4期16-20,共5页
Journal of Yellow River Conservancy Technical Institute
关键词
人工神经网络
遗传算法
优化设计
稳定计算
Artificial Neural Networks
genetic algorithm
optimization design
stability calculation
