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A platform for research: civil engineering, architecture and urbanism
Seismic Fragility Analysis of RC Isolated Continuous Girder Bridge Using Radial Basis Function Neural Network
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.
Seismic Fragility Analysis of RC Isolated Continuous Girder Bridge Using Radial Basis Function Neural Network
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.
Seismic Fragility Analysis of RC Isolated Continuous Girder Bridge Using Radial Basis Function Neural Network
Advanced Materials Research ; 936 ; 1473-1478
2014-06-30
6 pages
Article (Journal)
Electronic Resource
English
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