Challenges in developing confidence intervals on modal parameters estimated for large civil infrastructure with stochastic subspace identification

E. Peter Carden, Akira Mita

研究成果: Article査読

38 被引用数 (Scopus)

抄録

This paper examines current methods for estimating uncertainty and confidence intervals on modal parameters estimated using stochastic subspace identification. It is found that most perturbation methods have been limited to estimating variance and not higher moments of the identified modal parameters. It is shown that the modal parameters may exhibit non-normal distributions and in such cases the variance is insufficient in estimating confidence intervals. A current perturbation method is extended to estimate higher moments but it is shown that the inaccuracy in estimating the covariance of the covariance function limits the accuracy of this approach. A residual bootstrapping approach is then investigated; however, it is found with both numerical and measured data that the residuals are not all reduced to white series. It is also found that the excitation of the suspension bridge investigated is non-Gaussian distributed. These are serious difficulties in applying a residual bootstrapping procedure reliably. Based on these investigations, some current challenges in obtaining accurate confidence intervals on estimated modal parameters for large civil infrastructure are summarized.

本文言語English
ページ(範囲)53-78
ページ数26
ジャーナルStructural Control and Health Monitoring
18
1
DOI
出版ステータスPublished - 2011 2 1

ASJC Scopus subject areas

  • 土木構造工学
  • 建築および建設
  • 材料力学

フィンガープリント

「Challenges in developing confidence intervals on modal parameters estimated for large civil infrastructure with stochastic subspace identification」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル