Skip to main content
padlock icon - secure page this page is secure

A Novel Method to Identification Structural Damage

Buy Article:

$106.34 + tax (Refund Policy)

Structural damage is too difficult to identification. In this paper, a new method using grey forecasting model to identification the structural damage with past and present data is proposed. Firstly, proposed a novel grey forecasting model. Secondly, three grey forecasting models are compared. Finally, proposed a novel method to identification structural damage. Large structure systems include natural decay and unnatural decay. Natural decay modal parameter can be get from the grey forecasting model, compare with the modal parameter identify currently, by a set value to analysis structural damage. Experimental results verify the theoretical analysis.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics


Document Type: Research Article

Publication date: March 1, 2012

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more