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    Numerical simulation of a method for seismic damage identification in buildings

    AbstractThis article deals with a method for seismic damage identification in buildings with steel moment-frame structure. The damage identification is based on artificial neural networks and natural frequencies. A simplified finite element model is used to obtain the data needed for training the nets. The method is simulated on a four-storey building under conditions as close as possible to reality. The robustness of the method and its sensitivity to the variations of the mass in time and the influence of the data errors is addressed. The statistical analysis of the results is successful, but it reveals that the predictions are quite sensitive to the data errors.

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    Numerical simulation of a method for seismic damage identification in buildings

    AbstractThis article deals with a method for seismic damage identification in buildings with steel moment-frame structure. The damage identification is based on artificial neural networks and natural frequencies. A simplified finite element model is used to obtain the data needed for training the nets. The method is simulated on a four-storey building under conditions as close as possible to reality. The robustness of the method and its sensitivity to the variations of the mass in time and the influence of the data errors is addressed. The statistical analysis of the results is successful, but it reveals that the predictions are quite sensitive to the data errors.

    Access

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    Check availability in my library
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    Numerical simulation of a method for seismic damage identification in buildings

    AbstractThis article deals with a method for seismic damage identification in buildings with steel moment-frame structure. The damage identification is based on artificial neural networks and natural frequencies. A simplified finite element model is used to obtain the data needed for training the nets. The method is simulated on a four-storey building under conditions as close as possible to reality. The robustness of the method and its sensitivity to the variations of the mass in time and the influence of the data errors is addressed. The statistical analysis of the results is successful, but it reveals that the predictions are quite sensitive to the data errors.

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    Title:

    Numerical simulation of a method for seismic damage identification in buildings

    Contributors:

    Zapico, José Luis (author) / González, María Placeres (author)

    Published in:

    Engineering Structures ; 28 ; 255-263

    Publication date:

    2005-08-01

    Size:

    9 pages

    ISSN:

    0141-0296

    DOI:

    https://doi.org/10.1016/j.engstruct.2005.08.005

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Damage identification , Seismic damage , Neural networks , Welded steel moment-frame buildings , Mass sensitivity , Transmission of errors

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