Structural health assessment using only noise-contaminated responses

Ajoy Kumar Das, Achintya Haldar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel nondestructive Structural Health Assessment (SHA) technique, known as the Generalized Iterative Least-Squares Extended Kalman Filter with Unknown Input (GILS-EKF-UI) method, is being developed at the University of Arizona. The procedure can detect defects in new, deteriorated or rehabilitated existing structures or just after large natural or manmade events. Most SI-based SHA approaches use excitation and response information to identify a structure. Excitation information is not available in most cases. It could be noise-contaminated and the SI concept may not be applicable. For large complicated real structures, it may not be possible to measure responses at all dynamic degrees of freedom and they always contain noise. Addressing all the issues, the GILS-EKF-UI method is being developed and is presented here.

Original languageEnglish (US)
Title of host publicationVulnerability, Uncertainty, and Risk
Subtitle of host publicationAnalysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences
Pages518-525
Number of pages8
DOIs
StatePublished - 2011
EventInternational Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011 - Hyattsville, MD, United States
Duration: Apr 11 2011Apr 13 2011

Publication series

NameVulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences

Other

OtherInternational Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011
Country/TerritoryUnited States
CityHyattsville, MD
Period4/11/114/13/11

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

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