A new approach for structural health assessment using unscented kalman filter

A. Al-Hussein, A. K. Das, Achintya Haldar

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

3 Citations (Scopus)

Abstract

Atime-domain System Identification (SI)-based Structural Health Assessment (SHA) procedure using Extended Kalman Filter (EKF) concept is presented in another paper. Unscented Kalman Filter (UKF) concept is presented in this paper. Both procedures can be used to assess health of existing or newly built structures exhibiting nonlinear behavior. To apply these procedures, the structures are represented by finite elements. The locations and the rates of degradation of the elements are tracked to assess the structural health. Both EKF and UKF-based formulations are expected to assess health for nonlinear structures. Since the mathematical formulations are different, their application potentials to identify health of structures with different types of nonlinearities are expected to be different. The most important attribute of the UKF-based procedure is that it will not require the linearization of nonlinear responses as required by the EKF-based procedure.A comparative study of the two procedures is presented in this paper. It is shown that one method may be superior to the other to assess structural health in the presence of different defect scenarios and associated nonlinearities.

Original languageEnglish (US)
Title of host publicationSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Pages1579-1585
Number of pages7
StatePublished - 2013
Event11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 - New York, NY, United States
Duration: Jun 16 2013Jun 20 2013

Other

Other11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
CountryUnited States
CityNew York, NY
Period6/16/136/20/13

Fingerprint

Kalman filters
Health
Extended Kalman filters
Linearization
Identification (control systems)
Degradation
Defects

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Al-Hussein, A., Das, A. K., & Haldar, A. (2013). A new approach for structural health assessment using unscented kalman filter. In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 (pp. 1579-1585)

A new approach for structural health assessment using unscented kalman filter. / Al-Hussein, A.; Das, A. K.; Haldar, Achintya.

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. 2013. p. 1579-1585.

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

Al-Hussein, A, Das, AK & Haldar, A 2013, A new approach for structural health assessment using unscented kalman filter. in Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. pp. 1579-1585, 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013, New York, NY, United States, 6/16/13.
Al-Hussein A, Das AK, Haldar A. A new approach for structural health assessment using unscented kalman filter. In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. 2013. p. 1579-1585
Al-Hussein, A. ; Das, A. K. ; Haldar, Achintya. / A new approach for structural health assessment using unscented kalman filter. Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013. 2013. pp. 1579-1585
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