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    An evolutionary optimization-based approach for simulation of endurance time load functions

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    MM_ETICA01_R26.pdf
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    Final Accepted Manuscript
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    Author
    Mashayekhi, Mohammadreza
    Estekanchi, Homayoon E.
    Vafai, Hassan
    Ahmadi, Goodarz
    Affiliation
    Univ Arizona, Dept Civil Engn & Engn Mech
    Issue Date
    2019-02-01
    Keywords
    Endurance time method
    imperialist competitive algorithm
    dynamic analysis
    discrete wavelet transform
    classical optimization methods
    simulated annealing
    
    Metadata
    Show full item record
    Publisher
    TAYLOR & FRANCIS LTD
    Citation
    Mohammadreza Mashayekhi, Homayoon E. Estekanchi, Hassan Vafai & Goodarz Ahmadi (2019) An evolutionary optimization-based approach for simulation of endurance time load functions, Engineering Optimization, 51:12, 2069-2088, DOI: 10.1080/0305215X.2019.1567724
    Journal
    ENGINEERING OPTIMIZATION
    Rights
    Copyright © 2019 Informa UK Limited, trading as Taylor & Francis Group.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    A novel optimization method based on Imperialist Competitive Algorithm (ICA) for simulating endurance time (ET) excitations was proposed. The ET excitations are monotonically intensifying acceleration time histories that are used as dynamic loading. Simulation of ET excitations by using evolutionary algorithms has been challenging due to the presence of a large number of decision variables that are highly correlated due to the dynamic nature of the problem. Optimal parameter values of the ICA algorithm for simulating ETEFs were evaluated and were used to simulate ET excitations. In order to increase the capability of the ICA and provide further search in the optimization space, this algorithm was combined with simulated annealing (SA). The new excitation results were compared with the current practice for simulation of ET excitations. It was shown that the proposed ICA-SA method leads to more accurate ET excitations than the classical optimization methods.
    Note
    12 month embargo; published online: 1 February 2019
    ISSN
    0305-215X
    DOI
    10.1080/0305215x.2019.1567724
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1080/0305215x.2019.1567724
    Scopus Count
    Collections
    UA Faculty Publications

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