Sensitivity of Fragility Curves To Parameter Uncertainty Using Lasso Regression

Abstract eng:
Fragility curves are one of the essential tools in seismic risk assessment. Various source of uncertainties such as material, geometric and ground motion have to be considered in the generation of fragility curves for regional risk assessment of bridges. The identification of parameters that have a significant effect on the seismic demand or fragility curves often requires computationally expensive and time-consuming screening methods. This paper proposes an approach to identify the significant variables using an advanced regression technique called Lasso regression. The proposed approach helps to identify and remove the less significant parameters during the generation of fragility curves without any reiteration. The proposed approach is demonstrated in this paper through the case study of a two span box girder bridge with rigid diaphragms. Although the approach is illustrated with one specific bridge type, the methodology and approach is relevant to other structural systems.

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