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复杂应力构件多荷载工况下的配筋优化
引用本文:张鹄志,刘 霞,易伟建,刘 翔. 复杂应力构件多荷载工况下的配筋优化[J]. 湖南大学学报(自然科学版), 2014, 41(9): 42-47
作者姓名:张鹄志  刘 霞  易伟建  刘 翔
作者单位:1. 湖南大学 土木工程学院,湖南 长沙,410082
2. 广东省建筑设计研究院,广东 广州,510010
基金项目:国家自然科学基金资助项目,湖南省发展和改革委员会科技创新项目
摘    要:遗传演化结构优化算法自提出以来,研究主要针对单荷载工况的情形,研究成果对于指导实际工程设计存在缺陷.为了满足工程应用的需求,本文以ANSYS有限元软件的非线性分析为平台,选用solid65单元和link10单元分别模拟混凝土单元和钢筋单元,将分离式模型遗传演化结构优化推广到复杂应力构件多荷载工况下的配筋优化.通过选用开洞深梁和开洞剪力墙作为数值算例以验证,分离式模型遗传演化结构优化可以综合考虑多个荷载工况的影响,减少人为因素的干扰,直观地计算出钢筋配置方案,很好地完成复杂应力构件在多荷载工况下的配筋优化设计,所得的结果符合受力机理,且不会使钢筋过度集中,还因为提高了钢筋的利用效率,所以相比弹性应力设计方法节省了用钢量.

关 键 词:配筋优化  分离式模型  遗传演化结构优化  多荷载工况  复杂应力构件

Reinforcement Layout Optimization of Members under Complex Stress States and Multiple Loading Cases
ZHANG Hu-zhi,LIU Xia,YI Wei-jian,LIU Xiang. Reinforcement Layout Optimization of Members under Complex Stress States and Multiple Loading Cases[J]. Journal of Hunan University(Naturnal Science), 2014, 41(9): 42-47
Authors:ZHANG Hu-zhi  LIU Xia  YI Wei-jian  LIU Xiang
Affiliation:ZHANG Hu-zhi;LIU Xia;YI Wei-jian;LIU Xiang;College of Civil Engineering,Hunan Univ;Architectural Design and Research Institute of Guangdong;
Abstract:The genetic evolutionary structural optimization (GESO) is used for single loading case study, but it still needs to be improved in practical engineering.In this paper, Separated elements model GESO was used to design reinforcement layout of the reinforced concrete (RC) members under complex elements stress states and multiple loading cases in order to fulfill the needs of engineering application.Separated elements model GESO involves the nonlinear analysis of ANSYS finite element software as a platform, in which solid65 element is chosen as the concrete element, while link10 element is regarded as the reinforcement element herein.Separated elements model GESO is further verified by considering deep beams and shear walls with openings as the numerical examples.The reinforcement layout of RC members under complex stress states can be optimized under multiple loading cases including loading combination.The influence of subjective factors has been dramatically reduced with intuitive reinforcement layout results, which are in accordance with the stress mechanism and will not lead to centralized reinforcement layout.The application of separated elements model GESO can save steel consumption by comparing with elastic stress design method, since the utilization efficiency of reinforcements is also improved.
Keywords:reinforcement layout optimization  separated elements model  genetic evolutionary struc-tural optimization  multiple loading cases  members under complex stress state
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