Regional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: Active Learning Approach

2020 ◽  
Vol 146 (12) ◽  
pp. 04020269
Author(s):  
Sujith Mangalathu ◽  
Jong-Su Jeon
2020 ◽  
Vol 5 (11) ◽  
pp. 103
Author(s):  
Francesco Cavalieri ◽  
Paolo Franchin

Modern society’s very existence is tied to the proper and reliable functioning of its Critical Infrastructure (CI) systems. In the seismic risk assessment of an infrastructure, taking into account all the relevant uncertainties affecting the problem is crucial. While both aleatory and epistemic uncertainties affect the estimate of seismic risk to an infrastructure and should be considered, the focus herein is on the latter. After providing an up-to-date literature review about the treatment of and sensitivity to epistemic uncertainty, this paper presents a comprehensive framework for seismic risk assessment of interdependent spatially distributed infrastructure systems that accounts for both aleatory and epistemic uncertainties and provides confidence in the estimate, as well as sensitivity of uncertainty in the output to the components of epistemic uncertainty in the input. The logic tree approach is used for the treatment of epistemic uncertainty and for the sensitivity analysis, whose results are presented through tornado diagrams. Sensitivity is also evaluated by elaborating the logic tree results through weighted ANOVA. The formulation is general and can be applied to risk assessment problems involving not only infrastructural but also structural systems. The presented methodology was implemented into an open-source software, OOFIMS, and applied to a synthetic city composed of buildings and a gas network and subjected to seismic hazard. The gas system’s performance is assessed through a flow-based analysis. The seismic hazard, the vulnerability assessment and the evaluation of the gas system’s operational state are addressed with a simulation-based approach. The presence of two systems (buildings and gas network) proves the capability to handle system interdependencies and highlights that uncertainty in models/parameters related to one system can affect uncertainty in the output related to dependent systems.


2019 ◽  
Vol 1 (Special Issue on First SACEE'19) ◽  
pp. 55-75
Author(s):  
Fabio Sabetta

In this paper, the main features of the policies adopted in Italy for seismic risk reduction are discussed. Particular attention is given to the Pre-disaster prevention activities such as the implementation of the building code, the seismic risk assessment for a priority scale of intervention, tax incentives and public funding for the vulnerability reduction of the existing buildings, information to population and school education, technical training of experts. The phases of response and post-disaster activities, including emergency management, search and rescue, loss scenarios, and safety assessment of buildings, are also discussed taking example from the most recent devastating earthquakes in Italy (L.Aquila 2009, Amatrice 2016).


2011 ◽  
Vol 05 (01) ◽  
pp. 31-45 ◽  
Author(s):  
T. IMAI ◽  
S. WADA ◽  
T. KOIKE

In order to keep the existing lifeline network system at a favorable seismic performance level, it is necessary to carry out retrofitting activities. This study proposes a seismic risk assessment method for the existing deteriorated lifeline network system based on the probability of system performance failure. Numerical simulations are carried out for the existing water distribution network system for several seismic investment strategies to support the decision making of seismic disaster mitigation planning. Effective planning of seismic retrofitting activities and disaster mitigation for the existing lifeline system can be realized using the newly developed assessment method.


2008 ◽  
Vol 12 (sup2) ◽  
pp. 199-210 ◽  
Author(s):  
Dominik H. Lang ◽  
Sergio Molina-Palacios ◽  
Conrad D. Lindholm

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