摘要
溢流坝下游收缩断面水深 hc 的计算对水工消能设计十分重要. 目前常用的方法有试算法、图解法和迭代法,这些方法计算精度不高,人工计算量大或要求较高的计算数学的理论知识等,不便于在生产实际中推广应用. 为此,把 hc 的计算问题归结为非线性优化问题,用作者研制的加速遗传算法 (AGA) 来处理. 应用 AGA 方法的实例计算结果说明 AGA 比常用方法简便 计算精度高且具有通用性.
To compute the water depth of contraction section downstream overflow dam is very important for hydraulic design of stilling basins and energy dissipators. The shortcomings of traditional computing methods such as trial and error method, graphic method or iteration method are low precision, large artificial computation, or demanding advanced mathematical knowledge. For this reason,in this paper,it is pointed out that the problem of computing the water depth is essentially a nonlinear optimal problem, which can be resolved with the accelerating genetic algorithm(AGA)developed by the authors. The result of the application example shows that AGA is much more convenient, high precision, and general than each of traditional methods.
出处
《水利水电技术》
CSCD
北大核心
2001年第3期19-21,共3页
Water Resources and Hydropower Engineering
基金
国家自然科学基金!(49871018)
中国博士后科学基金
四川大学高速水力学国家重点实验室开放基金!(9904)资助项目.
关键词
溢流坝
收缩断面
水溶
遗传算法
overflow dam contraction section water depth genetic algorithm