To improve the stability of the flow field in the intake structure of the sand-laden pumping station in the Yellow River Irrigation District,the design parameters of the intake structure of the prototype pumping station(be-fore sediment deposition)are coupled,and synergistically optimized.A typical positive inlet pumping station in Jingdian irrigation area of Gansu Province is selected as the research object,the flow field characteristics evaluation indexes and inlet structure design parameters are determined,the PSO-BPNN-MIGA coupled optimization model is constructed based on simulation intelligent algorithm(PSO-BPNN)and multi-island genetic algorithm(MI-GA),and the optimal solution is optimized by Realizable k-ε turbulence model coupled with the inter-phase slip consideration.The optimal solution is simulated by the Realizable turbulence model coupled with the Mixture multi-phase flow model considering the interphase slip.The optimal design scheme(OPT)obtained from the coupled op-timization model is:diffusion angle θ=26.30°,total width B=26.46 m,bottom longitudinal slope i=1∶2.3,overhang height C=1.05 m,inundation depth hs=1.38 m,back wall distance T=0.57 m;the deviation rates of the predicted and calculated values of the OPT scheme evaluation indexes are within 10.00％.There is no obvious vortex backflow area in the inlet structure of the pumping station under OPT scheme,and the sediment siltation in-tensity and siltation range are significantly reduced,the flow velocity is smaller and the flow line is more uniform.The optimization model is more reliable in the coordinated optimization of the prototype intake structure of the pum-ping station,and can realize the global continuous optimization in the parameter interval,and the overall optimiza-tion effect of the obtained optimal scheme is good.The research ideas and methods proposed in this paper can pro-vide reference methods for the collaborative optimization of similar pumping station engineering design parameters coupling.
关键词
正向进水结构/流场特性/PSO-BPNN算法/MIGA算法/多目标优化/数值模拟
Key words
forward intake structure/flow field characteristics/PSO-BPNN algorithm/MIGA algorithm/multi-objective optimization/numerical simulation
维普
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