Seismic Risk Mitigation in Urban Areas Based on Artificial Intelligence Methods

Abstract eng:
This paper presents a GIS-based methodology for monitoring the seismic performance, while taking into account the deteriorations revealed during scenarios, aiming at the identification of the seismic serviceability of the structure. By using geospatial data, one can develop useful scenarios to improve the knowledge on structural vulnerability of the urban built infrastructure. Scenarios of modeling, simulation and nonlinear seismic analysis are described and applied to a class of damaged models for some of the structures typical of the existing urban infrastructure of Iaºi, Romania. Some data mining techniques, especially decision trees are presented as a tool for awareness and mitigation of seismic effects of possible future events in the urban area.

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