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A reliability analysis was performed of a model capable of computing Topographic Aggravation Factors (TAF) for real topographic features using a digital elevation model. This model is a module in the SiSeRHMap hybrid model that, by a metamodeling process, computes frequency depending maps (multispectral) of acceleration response taking into account the topographic effect. The model is described by a structure comparable to a series-parallel circuit problem that solves for the response of each given x, y, z map point by scaling the 1D seismic response by the TAF in the frequency domain (each a component of the series circuit). The TAF is dependent on two coupled factors (the parallel components): (1) the 3D shape of the surface and (2) the stiffness of an “equivalent uniform relief”. Reliability analyses were performed on two different areas each characterized by complex topographic features. The first case modelled the East Mountain area (Utah, USA), where a detailed topographic effects study was conducted. A comparison between the TAFs developed in this study and the estimated Median Reference Method and Standard Spectral Ratio results calculated from the recorded ground motions indicated good agreement between the numerical and experimental results. The second case performed a comparison-parametric analysis of two nearby topographic features located in Port-au-Prince, Haiti. For this case, the complete SiSeRHMap model was applied by utilizing stratigraphic and topographic modules. The results clearly confirm the role of the 3D-topographic surface in the seismic site response and the reliability of SiSeRHMap in predicting it. [ABSTRACT FROM AUTHOR]

ffSiSeRHMap is a computerized methodology capable of drawing up prediction maps of seismic response. It was realized on the basis of a hybrid model which combines different approaches and models in a new and non-conventional way. These approaches and models are organized in a code-architecture composed of five interdependent modules. A GIS (Geographic Information System) Cubic Model (GCM), which is a layered computational structure based on the concept of lithodynamic units and zones, aims at reproducing a parameterized layered subsoil model. A metamodeling process confers a hybrid nature to the methodology. In this process, the one-dimensional linear equivalent analysis produces acceleration response spectra of shear wave velocitythickness profiles, defined as trainers, which are randomly selected in each zone. Subsequently, a numerical adaptive simulation model (Spectra) is optimized on the above trainer acceleration response spectra by means of a dedicated Evolutionary Algorithm (EA) and the Levenberg-Marquardt Algorithm (LMA) as the final optimizer. In the final step, the GCM Maps Executor module produces a serial map-set of a stratigraphic seismic response at different periods, grid-solving the calibrated Spectra model. In addition, the spectra topographic amplification is also computed by means of a numerical prediction model. This latter is built to match the results of the numerical simulations related to isolate reliefs using GIS topographic attributes. In this way, different sets of seismic response maps are developed, on which, also maps of seismic design response spectra are defined by means of an enveloping technique. [ABSTRACT FROM AUTHOR]