51. An integrated dynamical modeling perspective for infrastructure resilience
- Author
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Mathias, J.D., Mathias, Jean Denis, Clark, Susan Spierre, Onat, Nuri, Seager, Thomas P., Laboratoire d'ingénierie pour les systèmes complexes (UR LISC), and Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
- Subjects
010504 meteorology & atmospheric sciences ,Computer science ,Process (engineering) ,010501 environmental sciences ,infrastructure ,Dynamical system ,01 natural sciences ,Outcome (game theory) ,lcsh:Technology ,Electric power system ,SYSTEME COMPLEXE ,General Materials Science ,process ,Adaptation (computer science) ,Resilience (network) ,resilience ,0105 earth and related environmental sciences ,Civil and Structural Engineering ,Outcome ,Power system ,Stylized fact ,Infrastructure ,Resilience ,lcsh:T ,AIDE A LA GESTION ,Perspective (graphical) ,Building and Construction ,Geotechnical Engineering and Engineering Geology ,Dynamical controlled system ,Resources ,Computer Science Applications ,SYSTEME DYNAMIQUE ,Process ,dynamical controlled system ,outcome ,resources ,power system ,Risk analysis (engineering) ,[SDE]Environmental Sciences ,REGULATION - Abstract
International audience; This paper considers a dynamical way to connect resilience outcomes and processes by nesting process-based approaches inside a controlled dynamical system under resource constraints. To illustrate this, we use a dynamical model of electric power generation to show the complementary aspects of outcome, resources, and process-based approaches for analyzing infrastructure resilience. The results of this stylized model show that adaptation is the most influential process and that for monitoring to be efficient it must account for associated costs. Beyond these specific results, we suggest that nesting outcome- and process-based approaches within a dynamical controlled framework can be very useful and complementary for infrastructure managers and designers tasked with effectively allocating resources for enhancing system resilience.
- Published
- 2018