Stochastic analysis of seismic ground response for site classification methods verification
A database of numerical ground response analyses has been generated to assess the effectiveness of site classification
schemes adopted in seismic building codes. 1-D Ground models have been generated with a stochastic
approach based on a Monte Carlo procedure and the corresponding seismic response has been evaluated by the
equivalent linear elastic approach for a set of natural strong motion records. The study is intended to contribute
to the discussion of optimal subsoil classification schemes in terms of inter-class dispersion and reliability of the
predicted amplification factors. Moreover some specific analyses have been performed to show the relevance of
stiff layer inclusions and of nonlinear soil behavior on the performances of classification schemes. The variability
observed for each class in the different systems indicates that simple classification schemes should be preferred
according to Occam's razor statement.