基于遗传算法的负刚度装置优化布置

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孙彤,李宏男.基于遗传算法的负刚度装置优化布置[J].,2017,57(1):87-91

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

DOI：10.7511/dllgxb201701012

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:国家自然科学基金资助项目(51261120375).

作者	单位
孙彤,李宏男

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中文摘要:

针对一种新型轨道式负刚度装置(negative stiffness device，NSD)提出了一种基于遗传算法的优化布置数学模型，该模型同时考虑NSD在加速度控制上的优势和位移控制上的劣势，设定5组加权系数组合，考察不同优化侧重下的控制效果．以某10层结构为算例，通过对比负刚度装置和传统阻尼器控制效果，得到最优加权系数组合；通过对比5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:

A mathematic model of optimal placement for a new type of curve-based negative stiffness device (NSD) is put forward based on genetic algorithm (GA). This model gives consideration to both the advantage of NSD in acceleration control and the disadvantage in displacement control. Five combination modes of weighting coefficients are given to investigate the control effects in different optimization strategies. A 10-story structure is used numerically as an example. Optimum combination of weighting coefficients is found by comparing the control effect of NSD and traditional damper. Basic principles of the optimal placement of NSD are presented by comparing five combination modes of weighting coefficients.

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基于遗传算法的负刚度装置优化布置

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