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基于遗传算法的隔震支座优化设计方法
Genetic Algorithm-based Optimization Design Method for Seismic Isolation Structures
【摘要】 结合我国现有的结构设计规范,对隔震层支座自动设计问题,结合第三代非支配排序遗传算法制定了隔震支座优化设计方法。提出精细化剪切模型作为本次优化的计算模型,与以往的层剪切模型不同的是,将隔震层的各个隔震支座单独建立,可一次性获得满足偏心率的隔震支座布置方案。上述算法在大型通用有限元软件ABAQUS进行了程序实现。对一个5层的框架隔震结构进行优化设计,结果表明本文提出的方法是有效的,可操作的。
【Abstract】 Based In the context of China’s existing structural design codes, this study presents an optimized design method for the automatic design of seismic isolation layer bearings, utilizing the third generation of Non-dominated Sorting Genetic Algorithm(NSGA-Ⅲ).A detailed shear model is introduced as the computational approach for this optimization, which differs from the traditional layer shear model by independently constructing each seismic isolation bearing within the isolation layer. This enables a one-time acquisition of a bearing layout that meets the requirements for eccentricity. The proposed algorithm has been implemented in the large-scale general-purpose finite element software ABAQUS. The optimization design was applied to a 5-story frame with seismic isolation, and the results affirm the effectiveness and practicality of the method proposed.
【Key words】 seismic isolation structure; genetic algorithm; multi-objective optimization; shear model;
- 【文献出处】 价值工程 ,Value Engineering , 编辑部邮箱 ,2024年16期
- 【分类号】TU352.12
- 【下载频次】164