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Analysis with Strong Ground Motion Measurements

3 Analysis with Strong Ground Motion Measurements 6.5.3.1 Description of the Database [Pg.241]

Bayesian Methods for Structural Dynamics and Civil Engineering [Pg.242]

From Table 6.6, it is surprising that the values of b are always larger than fcy but the terms b Gs and b Gc are not included in the optimal model of C. By observing the model classes that include these two terms, the optimal values of these parameters are of similar order of its posterior standard deviation. This implies that the data do not provide evidence for such terms to be statistically significant. Furthermore, some of the values of bq (in some of the model [Pg.243]

In order to balance the data fitting capability and robustness, a relatively simple model class is chosen by the Bayesian model class selection approach and its optimal model is given by  [Pg.245]


An important issue related to the fragility curve construction and implicitly to the risk assessment is the selection of an appropriate earthquake intensity measure (IM) that characterizes the strong ground motion that best correlates with the response of each element, for example, building, pipeline, or harbor facilities like cranes. Several measures of the intensity of ground motion (IMs) have been developed. Each intensity measure may describe different characteristics of the motion, some of which may be more adverse for the structure or the system under consideration. The use of a particular IM in seismic risk analysis should be guided by the extent to which the measure corresponds to damage to the components of a system. Optimum intensity measures are defined in terms of practicality, effectiveness, efficiency, sufficiency, robustness, and computability (Mackie and Stojadinovic 2003). [Pg.3148]


See other pages where Analysis with Strong Ground Motion Measurements is mentioned: [Pg.275]    [Pg.579]    [Pg.439]    [Pg.814]   


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Grounded measurement

Measurements with

Motion analysis

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