Abstract (EN):
Performance-based earthquake engineering methodologies often require a probabilistic model of
structural demand. Since observations masking the probability distribution of the majority of the
data are frequently found, robust estimation methods are proposed to estimate the probabilistic
model parameters (i.e., central value and dispersion). The performance of thirty-three robust dispersion
estimators is evaluated, for different sample sizes, using the chord rotation, curvature, shear
force, and inter-story drift demands obtained after analyzing five reinforced concrete structures under
real earthquake records scaled to several intensities. Based on the results, combinations involving
dispersion and central value (defined in a companion article) estimators are proposed
Language:
English
Type (Professor's evaluation):
Scientific