文章摘要
基于遗传算法的负刚度装置优化布置
Optimal placement of negative stiffness device using genetic algorithm
投稿时间:2016-08-31  修订日期:2016-10-09
DOI:
中文关键词: 负刚度装置  遗传算法  优化布置  高层结构
英文关键词: negative stiffness device  genetic algorithm  optimal placement  high-rise structure
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位邮编
孙彤* 大连理工大学 116024
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中文摘要:
      摘要:针对一种新型轨道式负刚度装置(negative stiffness device,NSD)提出基于遗传算法的优化数学模型,该模型兼顾NSD在加速度控制上的优势和位移控制的劣势,并设定五组加权系数组合,考察不同优化侧重下的控制效果。以一十层结构为算例,通过对比负刚度控制和传统阻尼器控制效果,得到最优加权系数组合;通过对比五组加权系数组合,得到负刚度装置优化布置基本原则。
英文摘要:
      Abstract: A mathematic model of optimal placement for a new type of curve-based negative stiffness device was put forward based on genetic algorithm(GA). This model give consideration to both the advantage of NSD in acceleration control and the disadvantage in displacement control. Five combination modes of weighting coefficient were given to investigate control effects under different optimization strategy. A 10-story structure was used numerically as an example. Optimum combination of weight coefficient was found by comparing control effect of NSD and traditional damper. Basic principles of the optimal placement of NSD are presented by comparing five combination modes of weighting coefficient.
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