Nonlinear dynamic analysis is often used to develop fragility curves within the framework of seismic risk assessment and performance-based earthquake engineering. In the present article, fragility curves are derived from randomly generated clouds of structural response results by using least squares and sum-of-squares regression, and maximum likelihood estimation. Different statistical measures are used to estimate the quality of fragility functions derived by considering varying numbers of ground motions. Graphs are proposed that can be used as guidance regarding the number of calculations required for these three approaches.
Gehl, Pierre, Douglas, John, Seyedi, Darius Influence of the Number of Dynamic Analyses on the Accuracy of Structural Response Estimates,
Earthquake Enginering Reserch, 2015, с.97-113.
Gehl, Pierre, Douglas, John, Seyedi, Darius.
Influence of the Number of Dynamic Analyses on the Accuracy of Structural Response Estimates.
: Earthquake Enginering Reserch, 2015, с.97-113.
Gehl, Pierre, Douglas, John, Seyedi, Darius (2015)
Influence of the Number of Dynamic Analyses on the Accuracy of Structural Response Estimates,
: Earthquake Enginering Reserch, с.97-113
Gehl, Pierre,
Douglas, John &
Seyedi, Darius.
(2015).
Influence of the Number of Dynamic Analyses on the Accuracy of Structural Response Estimates.
Earthquake Enginering Reserch. с.97-113.
