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Seismic Fragility Analysis of RC Isolated Continuous Girder Bridge Using Radial Basis Function Neural Network

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Abstract:

To approximate the correlating mathematical relationship between many earthquake records PGA and the responses of bridge structures with minimum efforts and without loss of accuracy, an artificial neural network-based method is proposed in combination with LHS and IDA method. This method is employed to conduct the seismic fragility analysis of RC isolated continuous girder bridge. To investigate the suitability of this approach, the results of the new approach are compared to those obtained by the Cloud method. The comparison shows that the new method is more efficient and reliable.

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Periodical:

Advanced Materials Research (Volume 936)

Pages:

1473-1478

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.936.1473

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Cite this paper

Online since:

June 2014

Authors:

Bei Lei Chen*, Xiao Hong Long, Jian Jun Li

Keywords:

Fragility Analysis, IDA, Isolated Continuous Girder Bridge, RBFNN

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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