scholarly journals SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

2019 ◽  
Vol 9 (17) ◽  
pp. 3495 ◽  
Author(s):  
Saro Lee ◽  
Mahdi Panahi ◽  
Hamid Reza Pourghasemi ◽  
Himan Shahabi ◽  
Mohsen Alizadeh ◽  
...  

Since it is not possible to determine the exact time of a natural disaster’s occurrence and the amount of physical and financial damage on humans or the environment resulting from their event, decision-makers need to identify areas with potential vulnerability in order to reduce future losses. In this paper, a GIS-based open source software entitled Seismic-Related Vulnerability Calculation Software (SEVUCAS), based on the Step-wise Weight Assessment Ratio Analysis (SWARA) method and geographic information system, has been developed to assess seismic vulnerability by considering four groups of criteria (i.e., geotechnical, structural, socio-economic, and physical distance to needed facilities and away from dangerous facilities). The software was developed in C# language using ArcGIS Engine functions, which provide enhanced visualization as well as user-friendly and automatic software for the seismic vulnerability assessment of buildings. Weighting of the criteria (indicators) and alternatives (sub-indicators) was done using SWARA. Also, two interpolation methods based on a radial basis function (RBF) and teaching–learning-based optimization (TLBO) were used to optimize the weights of the criteria and the classes of each alternative as well. After weighing the criteria and alternatives, the weighted overlay analysis was used to determine the final vulnerability map in the form of contours and statistical data. The difference between this software and similar ones is that people with a low level of knowledge in the area of earthquake crisis management can use it to determine and estimate the seismic vulnerabilities of their houses. This visualized operational forecasting software provides an applicable tool for both government and people to make quick and correct decisions to determine higher priority structures for seismic retrofitting implementation.

Buildings ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 91 ◽  
Author(s):  
Tiago Miguel Ferreira ◽  
Nuno Mendes ◽  
Rui Silva

The growing concern about the protection of built heritage and the sustainability of urban areas has driven the reoccupation of existing masonry buildings, which, in the great majority of the cases, were not designed or constructed to withstand significant seismic forces. This fact, associated with territorial occupation often concentrated in areas with high seismic hazard, makes it essential to look at these buildings from the point of view of the assessment of their seismic vulnerability and retrofitting needs. However, to be effective and efficient, such an assessment must be founded on a solid knowledge of the existing methods and tools, as well as on the criteria that should underlie the selection of the most appropriate to use in each context and situation. Aimed at contributing to systematise that knowledge, this paper presents a comprehensive review of the most relevant vulnerability assessment methods applicable at different scales, as well as the most significant traditional and innovative seismic retrofitting solutions for existing masonry buildings.


2017 ◽  
Vol 12 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Gian Paolo Campostrini ◽  
Sabrina Taffarel ◽  
Giulia Bettiol ◽  
Maria Rosa Valluzzi ◽  
Francesca Da Porto ◽  
...  

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