首页> 外文会议>International Modal Analysis Conference >Updating Linear Elastic Models With Modal-Based Selective Sensitivity
【24h】

Updating Linear Elastic Models With Modal-Based Selective Sensitivity

机译:用基于模态的选择性灵敏度更新线性弹性模型

获取原文

摘要

Estimation equations for physical model parameters-stiffnesses and inertias - ate derived, based on measured modal data. The method of selective sensitivity is employed to obtain estimation equations which decouple each small subset of model parameters from the remaining unknown model parameters. An analytical method for evaluating the stability and accuracy of the parameter estimates is described. This analysis is based on a convex-model representation of the uncertainty in the modal data.
机译:基于测量的模态数据,物理模型参数 - 刚度和惯性的估计方程。采用选择性灵敏度的方法来获得从剩余的未知模型参数从剩余的未知模型参数中分离每个小型参数的每个小子集的估计方程。描述了一种用于评估参数估计的稳定性和准确性的分析方法。该分析基于模态数据中不确定性的凸模型表示。

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