基于混合微粒群算法的碾压混凝土坝施工并仓研究  

Study on RCC Dam Construction Union-grid Based on Hybrid Particle Swarm Optimizer

作　　者：李红亮 李国保 尚晓燕 LI Hong-liang;LI Guo-bao;SHANG Xiao-yan(Yellow River Engineering Consulting Co.,Ltd.,Zhengzhou 450003,China)

机构地区：[1]黄河勘测规划设计研究院有限公司,河南郑州450003

出　　处：《水电能源科学》2024年第11期111-115,共5页Water Resources and Power

基　　金：国家重点研发计划(2023YFC3208605)。

摘　　要：为有效解决碾压混凝土坝施工并仓难题,将混合微粒群算法应用于碾压混凝土坝施工并仓研究中,搭建以浇筑仓面面积为自变量的施工工期评价函数。在混合微粒群算法中,将模拟退火算法融入微粒群算法的搜寻迭代中以提高其全局收敛能力和收敛精度,并重新定义该混合微粒群算法的微粒结构、评价函数、搜寻速度和初始化等,引入决策变量δi修正搜寻速度,制定全新的适用于碾压混凝土坝施工并仓的混合微粒群算法运算规则,建立多约束下的施工并仓数学模型。在古贤碾压混凝土坝施工并仓应用中,计算获得每个浇筑升程的最优施工并仓方案和每个浇筑仓面的详细施工参数,为古贤碾压混凝土坝施工组织设计提供了详尽、可靠的数据支持,验证了混合微粒群算法在碾压混凝土坝施工并仓中的应用是可行、有效的。In order to effectively solve the problem of RCC dam construction union-grid,the hybrid particle swarm op-timization(PSO)was applied to the study of RCC dam construction union-grid,and construct an evaluation function of construction period with construction surface as the independent variable.In the Hybrid PSO,the simulated annealing(SA)was integrated into the search iteration of PSO to improve the global convergence ability and convergence accuracy.This paper redefined the particle’s structure,evaluation function,iterative speed and initialization of the Hybrid PSO.The decision variableδi was introduced to correct the iteration speed,a new calculation rule of Hybrid PSO was devel-oped,which is suitable for the RCC dam construction union-grid.A multi-constraints mathematical model for construc-tion union-grid was established.In the application of Guxian RCC dam construction union-grid,the optimal construction union-grid for each concrete placement lift and the detailed construction parameters for each construction surface were ob-tained.It verified that the application of the Hybrid PSO in the construction union-grid of RCC dam is feasible and effec-tive,which provides the detailed and reliable data support for the construction organization design of Guxian RCC dam.

关 键 词：碾压混凝土坝 施工并仓 混合微粒群算法 决策变量 多约束 

分 类 号：TV51[水利工程—水利水电工程] TV642.2