Computational intelligence for structural identifications

Abdullah Al-Hussein, Achintya Haldar

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

Abstract

Structural health assessment using the structural identification concept using measured dynamic response information in time domain was considered to be not possible in the late seventies. With the help of comprehensive analytical and laboratory investigations, the research team at the University of Arizona conclusively documented that the above statement is not correct. In fact, they showed that the concept has several advantages over other available methods. Considering the implementation potential, the concept appeared to be very desirable. The team proposed several intelligent schemes to address many challenges. They used mathematical concepts used in other disciplines, extensively modified them and proposed few novel concepts. Some of them are briefly presented in this paper and their novelties are described with the help of several informative examples. The concepts presented in the paper cross the disciplinary boundaries and showcase benefits of computational intelligence.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1844-1851
Number of pages8
ISBN (Print)9781479975600
DOIs
StatePublished - Jan 7 2016
EventIEEE Symposium Series on Computational Intelligence, SSCI 2015 - Cape Town, South Africa
Duration: Dec 8 2015Dec 10 2015

Other

OtherIEEE Symposium Series on Computational Intelligence, SSCI 2015
CountrySouth Africa
CityCape Town
Period12/8/1512/10/15

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Al-Hussein, A., & Haldar, A. (2016). Computational intelligence for structural identifications. In Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015 (pp. 1844-1851). [7376834] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI.2015.257