Calibration of Analytical Fragility Curves Based on Empirical Data of Bridges

WU Zi-yan; JIA Zhao-ping; LIU Xiao-xiao

doi:10.3879/j.issn.1000-0887.2014.07.002

Volume 35 Issue 7

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WU Zi-yan, JIA Zhao-ping, LIU Xiao-xiao. Calibration of Analytical Fragility Curves Based on Empirical Data of Bridges[J]. Applied Mathematics and Mechanics, 2014, 35(7): 723-736. doi: 10.3879/j.issn.1000-0887.2014.07.002

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Calibration of Analytical Fragility Curves Based on Empirical Data of Bridges

doi: 10.3879/j.issn.1000-0887.2014.07.002

School of Mechanics and Civil.& Architecture, Northwestern Polytechnical University,Xi’an 710129, P.R.China

Funds: The National Natural Science Foundation of China(51278420)

Received Date: 2013-12-12
Rev Recd Date: 2014-06-10
Publish Date: 2014-07-15

Abstract

Abstract

Most previous studies of analytical fragility curves based on bridge damage states defined through theoretical computations or experimental investigations couldn’t fully include the influences of bridge configuration (geometric properties, material properties, etc.), ground motion, site condition and so on. In view of this, the empirical fragility curves of the 2-parameter lognormal distribution were firstly constructed on the basis of the bridge damage data from the 1994 Northridge earthquake. Meanwhile, the analytical fragility curves of a multispan bridge model under four different damage states were obtained with definition of the bent column rotational ductility thresholds. Lastly, the analytical fragility curves were calibrated with the empirical fragility curves of the 90% confidence interval. The results show that the calibrated analytical fragility curves of the bridge model are fairly consistent with the empirical ones, and the threshold values of the 3 damage states are also calibrated with the SRSS optimization formula. With the progress of the structural damage knowledge, the calibrated analytical fragility curves can be updated again. The improved fragility curves are promising in the seismic risk assessment of a highway network containing as many as thousands of bridges that may be affected by a major earthquake nearby or far away.
- bridge,
- seismic performance,
- analytical fragility,
- empirical fragility,
- threshold value of damage state,
- calibration

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References(18)

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