Abstract
Abstract. The mitigation of seismic risk passes through the assessment of seismic hazard of urban fabrics on a given territory. Statistical methods and damage probability matrices are currently used to facilitate seismic safety knowledge and assessment operations. These methods, despite being fast and low cost, often return results that differ from reality and prone to the expertise of the operator. Indeed, in order to have more accurate information it is necessary to conduct Finite Element Analysis (FEA). However, this type of analysis requires considerable surveying and modeling time and therefore are not easily applied to the urban scale. The key to implement this analysis at the territorial scale lies in the way of acquisition of urban data (geometric and informative) and their management within appropriate modeling environments that allow their treatment. Currently, the information modeling paradigms used for urban data collection and management are either time and resource consuming (HBIM) or overly simplified (GIS). In this research we investigate the potential of City Information Modeling (CIM) in a parametric environment (with reference to CityGML standards) combined with urban survey procedures. Aim of the work presented here is the definition of a parametric modeling protocol that allows, in a short time, the acquisition, modeling and finite element structural analysis of urban aggregates.
Highlights
The knowledge of the different degrees of seismic vulnerability of a territory allows to establish priorities of intervention in order to optimize the financial resources that local institutions can use for seismic risk mitigation
Point cloud classification is largely optimized, automatic transition to useful informative digital models (BIM/GIS) for FEM analysis is currently a subject of research and in recent years parametric modeling is almost mainly used to solve problems related to interoperability with structural analysis software. n this scenario, City Information Models which rely on BIM and GIS assets could represent the digital environment in which data useful for FEM analysis can be created, treated and exploited
The adoption of Computational Design (CD) into the field of 3D city models led to combining BIM and GIS procedures while minimizing input data and steps required towards the main purpose of the 3D city model requested
Summary
The knowledge of the different degrees of seismic vulnerability of a territory allows to establish priorities of intervention in order to optimize the financial resources that local institutions can use for seismic risk mitigation. In order to have more accurate information it is necessary to conduct Finite Element Analysis (FEA) in digital environments This type of analysis requires considerable surveying and modeling time and are hardly applied to the urban scale. Thanks to the evolution of geomatics methodologies several solutions are available today for acquiring large amounts of geometric data and generating complex models of real-world structures by exploiting point cloud processing. These procedures (known as Scan-to-FEM) are of support to define informative digital models useful for the purposes of modeling for FEA analysis. The granularity of the data allows for a high level of interoperability
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