Algorithmic and computing technologies for health assessment of real structures in the presence of nonlinearity and uncertainty

Ajoy Kumar Das, Abdullah Al-Hussein, Achintya Haldar

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

1 Citation (Scopus)

Abstract

The research team at the University of Arizona proposed several novel structural health assessment (SHA) algorithms. Structures are represented by finite elements (FE) and the health is assessed by identifying the stiffness parameters of all the elements and comparing them with expected values or with previous values, or by observing differences between similar elements. They can identify the location and severity of defect and exact location within a defective element. These algorithms use several system identification- (SI-) based concepts with different levels of sophistications. They do not require excitation information and can assess the health of large structural systems using only limited noise-contaminated acceleration time-histories measured at a small part of a structure. They are widely available in the literature. However, algorithmic and computational rigors of them are generally not presented in technical papers due to severe page limitation. Some of them are briefly presented in this paper without discussing the specific algorithms.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering
Pages49-56
Number of pages8
StatePublished - 2013
Event2013 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2013 - Los Angeles, CA, United States
Duration: Jun 23 2013Jun 25 2013

Other

Other2013 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2013
CountryUnited States
CityLos Angeles, CA
Period6/23/136/25/13

Fingerprint

Health
Identification (control systems)
Stiffness
Defects
Uncertainty

ASJC Scopus subject areas

  • Civil and Structural Engineering

Cite this

Das, A. K., Al-Hussein, A., & Haldar, A. (2013). Algorithmic and computing technologies for health assessment of real structures in the presence of nonlinearity and uncertainty. In Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering (pp. 49-56)

Algorithmic and computing technologies for health assessment of real structures in the presence of nonlinearity and uncertainty. / Das, Ajoy Kumar; Al-Hussein, Abdullah; Haldar, Achintya.

Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering. 2013. p. 49-56.

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

Das, AK, Al-Hussein, A & Haldar, A 2013, Algorithmic and computing technologies for health assessment of real structures in the presence of nonlinearity and uncertainty. in Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering. pp. 49-56, 2013 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2013, Los Angeles, CA, United States, 6/23/13.
Das AK, Al-Hussein A, Haldar A. Algorithmic and computing technologies for health assessment of real structures in the presence of nonlinearity and uncertainty. In Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering. 2013. p. 49-56
Das, Ajoy Kumar ; Al-Hussein, Abdullah ; Haldar, Achintya. / Algorithmic and computing technologies for health assessment of real structures in the presence of nonlinearity and uncertainty. Computing in Civil Engineering - Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering. 2013. pp. 49-56
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