中南大学学报(自然科学版)2023,Vol.54Issue(12):4968-4979,12.DOI:10.11817/j.issn.1672-7207.2023.12.032
大型碟式太阳能聚光器网架结构拓扑优化设计
Research on topology optimization of dish solar concentrator truss structure
摘要
Abstract
To improve the performance of the dish solar concentrator,reduce the overall mass of the concentrator,reduce the processing cost,and meet the requirements of lightweight design,with the concentrator truss structure as the object of analysis,the finite element theory and topology optimization methods were adopted to improve the structural design of the traditional dish solar energy.First of all,the complete finite element model for dish solar energy was established,and then HyperWorks software was imported for mesh delineation,static analysis and modal analysis of the concentrator and the grid structure.Due to its large area and windward area of the dish solar concentrator is very sensitive to external climate conditions,and so it must take into account the aerodynamic load,including the external factors.ANSYS Fluent software was used for its wind tunnel test simulation,to obtain the force and moment acting on the grid,according to the above loading conditions of the best topology for its optimization process.Optimization was carried out to obtain the best topological configuration.Finally,based on the fuzzy gray correlation analysis theory,the wind load coefficients of the dish solar grid structure were analyzed in depth in terms of their correlation with the height angle,azimuth angle,wind speed and other factors.The results show that the performance of the final optimized grid frame is improved in all aspects,with the maximum stress reduced by 39%,the maximum displacement reduced by 5.6%,and the total mass reduced by 8%.关键词
碟式太阳能/网架结构/拓扑优化/数值风洞/有限元分析Key words
dish solar energy/truss structure/topology optimization/numerical wind tunnel/finite element analysis分类
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魏克湘,王婵,左红艳,马颖,李玉强..大型碟式太阳能聚光器网架结构拓扑优化设计[J].中南大学学报(自然科学版),2023,54(12):4968-4979,12.基金项目
国家自然科学基金资助项目(52175135) (52175135)
湖南省研究生科研创新计划项目(CX20221297)(Project(52175135)supported by the National Natural Science Foundation of China (CX20221297)
Project(CX20221297)supported by the Postgraduate Research&Practice Innovation Program of Hunan Province) (CX20221297)