文章摘要
王海东,许栋,冉启华,袁赛瑜,唐洪武.基于伴随方法的多沙泵站前池流态优化探索[J].水利学报,2025,56(7):898-908
基于伴随方法的多沙泵站前池流态优化探索
Exploration of flow pattern optimization in the forebay of a sediment-laden pump station based on the adjoint method
投稿时间:2024-12-02  修订日期:2025-05-19
DOI:10.13243/j.cnki.slxb.20240778
中文关键词: 多泥沙河流  伴随优化算法  水沙两相流  泥沙淤积  漩涡结构
英文关键词: sediment-laden river  adjoint optimization algorithm  two-phase water-sediment flow  sediment deposition  vortex structure
基金项目:国家重点研发计划项目(2022YFC3200032); 国家自然科学基金项目(52179076,U2443219)
作者单位E-mail
王海东 河海大学 水利水电学院, 江苏 南京 210098
河海大学 水利部水循环与水动力系统重点实验室, 江苏 南京 210098 
 
许栋 河海大学 水利水电学院, 江苏 南京 210098
河海大学 水利部水循环与水动力系统重点实验室, 江苏 南京 210098 
xudong@hhu.edu.cn 
冉启华 河海大学 水利水电学院, 江苏 南京 210098
河海大学 水利部水循环与水动力系统重点实验室, 江苏 南京 210098 
 
袁赛瑜 河海大学 水利水电学院, 江苏 南京 210098
河海大学 水利部水循环与水动力系统重点实验室, 江苏 南京 210098 
 
唐洪武 河海大学 水利水电学院, 江苏 南京 210098
河海大学 水利部水循环与水动力系统重点实验室, 江苏 南京 210098 
 
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中文摘要:
      在多泥沙河流正向进水泵站前池中,由于断面突扩容易形成漩涡流态和泥沙淤积,干扰泵站正常运行。针对该问题,目前常通过增设导流墩等措施优化流态。然而,传统优化方法存在工况组合繁多、主观性与经验性较强的问题,难以获得最优设计方案。本文将空气动力学的伴随优化算法和水沙两相流理论结合计算,通过求解敏感度函数,对流场方程和伴随方程同时进行迭代求解,优化泵站前池水沙流态。结果表明:针对传统八字形导流墩,采用伴随优化法,微调几何外形,基本消除大尺度漩涡,特征断面流速均匀度高达90.23%,漩涡结构体积较无整流措施减小85.47%,较传统导流墩方案减小75.32%,泥沙淤积减少65.22%,优化效果显著。伴随优化算法可为泵站前池优化提供新的途径。
英文摘要:
      In the forebay of a forward intake pumping station in a sediment-laden river,the sudden cross-sectional expansion readily leads to the formation of vortices,which cause significant sediment accumulation,which interfere with the normal operation of the pumping station.To address this issue,measures such as the installation of diversion piers are commonly employed to optimize the flow conditions.However,traditional optimization methods face significant bottlenecks,including numerous combinations of operating conditions,strong subjectivity,and reliance on empirical approaches,which hinder the achievement of optimal design solutions.This study integrates adjoint optimization algorithms from aerodynamics with the theory of two-phase water-sediment flow.By solving the sensitivity function,both the flow field equation and the adjoint equation are iteratively solved simultaneously,achieving optimization of the water-sediment flow state in the pumping station forebay.The results indicated that for the traditional octagonal diversion pier,the adjoint optimization method was applied to fine-tune its geometric shape,effectively eliminating large-scale vortices.The uniformity of characteristic cross-sectional flow velocity reached 90.23%,while the vortex structure volume decreased by 85.47%compared to no rectification measures,and by 75.32%compared to the traditional diversion pier scheme.Additionally,sediment deposition was reduced by 65.22%.The optimization outcomes were highly significant.The proposed optimization algorithm provides a novel approach for the deep optimization and efficient operation of pumping station forebays.
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