【24h】

Substructure system identification: reduced-order models

机译:子结构系统识别:降阶模型

获取原文
获取原文并翻译 | 示例

摘要

When a complex structural system must be analyzed for its response to dynamic excitation, some form of substructure coupling method, or component mode synthesis (CMS) method, is usually employed. It is generally necessary to perform some form of vibration test to validate the separate substructure math models, which are then coupled together for the system analysis. When such tests are performed, it is important to give special attention to the way that the substructure is supported and the way that it is excited. A new substructure system identification algorithm, which porduces a linear, viscous-damped, reduced-order physical model (i.e., M, C, and K), is described in this paper, and the results of numerical simulations used to test the proposed new algorithm are presented. Of particular interest is the comparison between the results obtained by using the ordinary least-squares (OLS) method and those based on the total least-squares (TLS) method.
机译:当必须分析复杂结构系统对动态激励的响应时,通常会采用某种形式的子结构耦合方法或组件模式合成(CMS)方法。通常需要执行某种形式的振动测试以验证单独的子结构数学模型,然后将它们耦合在一起以进行系统分析。执行此类测试时,重要的是要特别注意支撑子结构的方式及其受激励的方式。本文介绍了一种新的子结构系统识别算法,该算法可生成线性,粘滞阻尼的降阶物理模型(即M,C和K),并通过数值模拟的结果对提出的新模型进行了测试。算法介绍。特别令人感兴趣的是使用普通最小二乘(OLS)方法获得的结果与基于总最小二乘(TLS)方法获得的结果之间的比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号