Seismic Vulnerability Appraisal According to the Algerian Building Context

Abstract

This contribution focuses on the adaptation and application of RADIUS methodology (Risk Assessment Tools for Diagnosis of Urban Areas Against Seismic Disaster) integrated with a Geographic Information System (GIS) to the Algerian context for the seismic vulnerability evaluation in urban areas potentially exposed to earthquakes. Within this framework, this application aims to perform a probable earthquake scenario in the urban centre of Constantine city, located at the North-East of Algeria, which will allow the buildings seismic damage estimation of this city. For that, an extensive inventory of almost 31,000 buildings was carried out. The simulation of the expected building seismic damage and the generated GIS damage maps provides a predictive evaluation of the damage that can occur due to a potential earthquake near to Constantine city.The theoretical forecasts are considered important for decision makers in order to reduce building vulnerability, to take adequate preventive measures and to develop suitable strategies for prevention and emergency management plans to reduce the losses. They can also help to identify the most damaged areas in the early moments following an earthquake to take the adequate emergency measures.

A Novel Seismic Vulnerability Assessment for the Urban Roadway by Using Interval Valued Fermatean Fuzzy Analytical Hierarchy Process

“…A number of studies focuses on assessing the seismic vulnerability of buildings in order to predict their potential collapse during an earthquake (Boukri et al, 2017). Techniques such as fragility curves, vulnerability functions and seismic performance indicators are developed to assess the structural integrity of different building types under seismic loading (Boukri et al, 2017;Karimzadeh et al, 2021;Maruyama et al, 2010;Pitilakis et al, 2014;Sandoli et al, 2021;Vamvatsikos & Kazantzi, 2014). These assessments provide valuable insight into the susceptibility of buildings to collapse, which is essential for understanding the potential risks to road infrastructure (D. Wang et al, 2021).…”