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: Analysis, 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

Other

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

Fingerprint

Extended Kalman filters
Health
Degrees of freedom (mechanics)
Defects

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

Cite this

Das, A. K., & Haldar, A. (2011). Structural health assessment using only noise-contaminated responses. In Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences (pp. 518-525) https://doi.org/10.1061/41170(400)63

Structural health assessment using only noise-contaminated responses. / Das, Ajoy Kumar; Haldar, Achintya.

Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. 2011. p. 518-525.

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

Das, AK & Haldar, A 2011, Structural health assessment using only noise-contaminated responses. in Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. pp. 518-525, International 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, 4/11/11. https://doi.org/10.1061/41170(400)63
Das AK, Haldar A. Structural health assessment using only noise-contaminated responses. In Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. 2011. p. 518-525 https://doi.org/10.1061/41170(400)63
Das, Ajoy Kumar ; Haldar, Achintya. / Structural health assessment using only noise-contaminated responses. Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. 2011. pp. 518-525
@inproceedings{b165a0550aff4369b6ac7ef4540e2f88,
title = "Structural health assessment using only noise-contaminated responses",
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.",
author = "Das, {Ajoy Kumar} and Achintya Haldar",
year = "2011",
doi = "10.1061/41170(400)63",
language = "English (US)",
isbn = "9780784411704",
pages = "518--525",
booktitle = "Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences",

}

TY - GEN

T1 - Structural health assessment using only noise-contaminated responses

AU - Das, Ajoy Kumar

AU - Haldar, Achintya

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79958151360&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79958151360&partnerID=8YFLogxK

U2 - 10.1061/41170(400)63

DO - 10.1061/41170(400)63

M3 - Conference contribution

AN - SCOPUS:79958151360

SN - 9780784411704

SP - 518

EP - 525

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

ER -