首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Optimum Vibration Control Design of a Light Weight Structure in Wide Frequency Domain
  • 本地全文:下载
  • 作者:Ayako TORISAKA ; Hiroshi YAMAKAWA
  • 期刊名称:Journal of Environment and Engineering
  • 电子版ISSN:1880-988X
  • 出版年度:2011
  • 卷号:6
  • 期号:2
  • 页码:328-339
  • DOI:10.1299/jee.6.328
  • 出版社:The Japan Society of Mechanical Engineers
  • 摘要:Although there are many studies on vibration reduction of a panel by making use of constrained viscoelastic materials, there is almost no research on vibration reduction for light weight paddle throughout the low to high frequency domains whose dynamic properties might be affected by the weight and rigidity of constrained viscoelastic damping materials. There is also little work on optimizing both parameters of constrained viscoelastic materials and light reinforced structural materials simultaneously. In this research, above-mentioned lightweight structure such as a solar paddle of a small satellite is of interest. For a lightweight structure like a solar paddle, the use of vibration control devices is not practical because of its cost and increase of mass, and then large modification of structure is not also practical. Furthermore, large response in high frequency domain is very critical for such structures from the viewpoint of fatigue. The objective of this research is to propose an optimum vibration control design method applicable throughout low to high frequency domains by considering parameters of the thickness, pasting regions for the constrained viscoelastic materials, and the position and cross section shape of stiffener simultaneously by making use of Response Surface Method (RSM) and Genetic Algorithm (GA). Through the design of a solar paddle of a small satellite, the effectiveness of the proposed method was demonstrated in comparison with other four methods including a conventional way.
  • 关键词:Optimum Design;Solar Paddle;Vibration Control Design;Constrained Viscoelastic Material;Multi Objective Genetic Algorism;Response Surface Method
国家哲学社会科学文献中心版权所有