A Prospective Fuzzy Approach for the Development of Integral Seismic Risk Scenarios for Barcelona, Spain

Author(s):  
J. Rubén G. Cárdenas ◽  
Francisco Mugica ◽  
Àngela Nebot
2019 ◽  
Vol 28 (11) ◽  
pp. 2101-2115
Author(s):  
Daniel Navarro ◽  
Manuel Navarro ◽  
Ismael Vallejo

2021 ◽  
Vol 48 ◽  
pp. 93-105
Author(s):  
Enrico Quagliarini ◽  
Michele Lucesoli ◽  
Gabriele Bernardini

2015 ◽  
Vol 9 (1) ◽  
pp. 344-350 ◽  
Author(s):  
Yeudy F. Vargas ◽  
Lluis G. Pujades ◽  
Alex H. Barbat ◽  
Jorge E. Hurtado

The incremental dynamic analysis is a powerful tool for evaluating the seismic vulnerability and risk of buildings. It allows calculating the global damage of structures for different PGAs and representing this result by means of damage curves. Such curves are used by many methods to obtain seismic risk scenarios at urban level. Even if the use of this method in a probabilistic environment requires a relevant computational effort, it should be the reference method for seismic risk evaluation. In this article we propose to assess the seismic expected damage by using nonlinear dynamic analysis. We will obtain damage curves by means of the incremental dynamic analysis combined with the damage index of Park * Ang. The uncertainties related to the mechanical properties of the materials and the seismic action will be considered. The probabilistic damage curves obtained can be used to calculate not only seismic risk scenarios at urban level, but also to estimate economic losses.


2017 ◽  
Vol 93 (S1) ◽  
pp. 25-37 ◽  
Author(s):  
Florin Pavel ◽  
Ileana Calotescu ◽  
Radu Vacareanu ◽  
Ana-Maria Sandulescu
Keyword(s):  

2010 ◽  
Vol 15 (02) ◽  
Author(s):  
Marina Murata ◽  
Tommaso Pirotti
Keyword(s):  

2020 ◽  
Author(s):  
George Karagiannakis

This paper deals with state of the art risk and resilience calculations for industrial plants. Resilience is a top priority issue on the agenda of societies due to climate change and the all-time demand for human life safety and financial robustness. Industrial plants are highly complex systems containing a considerable number of equipment such as steel storage tanks, pipe rack-piping systems, and other installations. Loss Of Containment (LOC) scenarios triggered by past earthquakes due to failure on critical components were followed by severe repercussions on the community, long recovery times and great economic losses. Hence, facility planners and emergency managers should be aware of possible seismic damages and should have already established recovery plans to maximize the resilience and minimize the losses. Seismic risk assessment is the first step of resilience calculations, as it establishes possible damage scenarios. In order to have an accurate risk analysis, the plant equipment vulnerability must be assessed; this is made feasible either from fragility databases in the literature that refer to customized equipment or through numerical calculations. Two different approaches to fragility assessment will be discussed in this paper: (i) code-based Fragility Curves (FCs); and (ii) fragility curves based on numerical models. A carbon black process plant is used as a case study in order to display the influence of various fragility curve realizations taking their effects on risk and resilience calculations into account. Additionally, a new way of representing the total resilience of industrial installations is proposed. More precisely, all possible scenarios will be endowed with their weighted recovery curves (according to their probability of occurrence) and summed together. The result is a concise graph that can help stakeholders to identify critical plant equipment and make decisions on seismic mitigation strategies for plant safety and efficiency. Finally, possible mitigation strategies, like structural health monitoring and metamaterial-based seismic shields are addressed, in order to show how future developments may enhance plant resilience. The work presented hereafter represents a highly condensed application of the research done during the XP-RESILIENCE project, while more detailed information is available on the project website https://r.unitn.it/en/dicam/xp-resilience.


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