Numerical simulation of a method for seismic damage identification in buildings

This 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...

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Bibliographic Details
Published in:Engineering structures 2006, Vol.28 (2), p.255-263
Main Authors: Zapico, José Luis, González, María Placeres
Format: Article
Language:English
Subjects:
Applied sciences
Buildings. Public works
Damage identification
Exact sciences and technology
Geotechnics
Mass sensitivity
Neural networks
Seismic damage
Structure-soil interaction
Transmission of errors
Welded steel moment-frame buildings
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Summary:This 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.
ISSN:0141-0296
1873-7323
DOI:10.1016/j.engstruct.2005.08.005