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The distribution of damage estimates is then used to generate fragility curves as formulated in Eq. (16).
One of the important tasks to generate fragility curves is the correct selection of input motion parameters.
The shear wall models were validated against experimental data available in the literature before incremental dynamic analysis (IDA) was employed to generate fragility curves.
In this study, the seismic performance characteristics of an existing inventory of horizontally curved, steel, I-girder bridges located in Pennsylvania, New York, and Maryland were used to generate fragility curves.
Results of the non-linear time history analyses performed in an incremental dynamic analysis context are hence manipulated through a probabilistic analysis framework to generate fragility curves associated with various performance levels for the case study bridge.
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Using the generated fragility, case studies were performed to investigate the effects of the certain bridge parameters on seismic vulnerability.
The framework for traditional regional risk assessments consists of grouping the bridge classes and generating fragility relationships for each bridge class.
The generated fragility curves provided information related to seismic response of the bridge inventory that was investigated, such as radial deformations at the bearings being the most susceptible component to seismic loads.
The experimental data was then used to generate capacity fragility curves in terms of displacement and force.
This chapter presents a simple analytical method to generate seismic fragility curves for low-rise to high-rise buildings in Hong Kong.
Both Probabilistic Seismic Demand Analysis (PSDA) and Incremental Dynamic Analysis (IDA) methods are used and compared in generating the fragility functions.
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