集合参数率定功能的一维水动力模型研究  

Study on One-dimensional Hydrodynamic Model with Parameter Estimation Function

作　　者：马峰[1] 牛小静[1] 张成[2] 徐梦珍[1] Ma Feng;Niu Xiaojing;Zhang Cheng;Xu Mengzhen(State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing 100084,China;School of Water Conservancy and Hydropower Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]清华大学水圈科学与水利工程全国重点实验室,北京100084 [2]华北电力大学水利水电工程学院,北京102206

出　　处：《水动力学研究与进展（A辑）》2024年第2期227-233,共7页Chinese Journal of Hydrodynamics

基　　金：十四五重点研发课题(2021YFC3200905);水沙科学与水利水电工程国家重点实验室自主项目(2022-KY-05)。

摘　　要：针对调水工程水动力模拟高精度和高稳定性的需求,该文采用TVD MUSCL-Hancock有限体积格式离散Saint-Venant方程组,建立了时空上具有二阶精度的一维水动力模型,并将模型中的参数率定问题转化为最优化问题,建立了基于粒子群优化方法的参数率定方法。同时采用经典算例验证了水动力模型的计算精度,并通过模型试验检验了参数率定模型的可靠性。结果表明:水动力模型精准、稳定,粒子群优化算法率定参数的全局寻优能力强,可满足非恒定流下参数率定的需求。The water transfer project requires more accurate and stable hydrodynamic simulation.An one-dimensional hydrodynamic model with second-order accuracy in both time and space is established by discretizing Saint-Venant equations system using the TVD MUSCL-Hancock finite volume scheme.The parameter estimation problem in this model is transformed into an optimization problem,and a parameter estimation method is established based on particle swarm optimization.The computational accuracy of the hydrodynamic model is verified by classical cases,and the reliability of the parameter estimation model is tested by model experiments.The results show that the hydrodynamic model is accurate and stable.And the particle swarm optimization method has a strong global optimization-seeking capability for parameter estimation under unsteady channel flow.

关 键 词：一维水动力模型 圣维南方程 有限体积方法 参数率定 粒子群优化 

分 类 号：TV133.2[水利工程—水力学及河流动力学]