An Integrated Dynamical Modeling Perspective for Infrastructure Resilience

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 outcom...

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Main Authors: Jean-Denis Mathias, Susan Spierre Clark, Nuri Onat, Thomas P. Seager
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Infrastructures
Subjects:
Online Access:http://www.mdpi.com/2412-3811/3/2/11
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spelling doaj-1f83c8f08389472eaed3b5959fb3ce552020-11-24T22:18:13ZengMDPI AGInfrastructures2412-38112018-05-01321110.3390/infrastructures3020011infrastructures3020011An Integrated Dynamical Modeling Perspective for Infrastructure ResilienceJean-Denis Mathias0Susan Spierre Clark1Nuri Onat2Thomas P. Seager3IRSTEA, UR LISC, 9 Avenue Blaise Pascal, 63170 Aubiere, FranceRENEW Institute, 108 Cooke Hall, University at Buffalo, Buffalo, NY 14260-1660, USAQatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha, QatarSchool of Sustainable Engineering, Arizona State University, Tempe, AZ 85281, USAThis 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.http://www.mdpi.com/2412-3811/3/2/11resilienceinfrastructuredynamical controlled systemoutcomeprocessresourcespower system
collection DOAJ
language English
format Article
sources DOAJ
author Jean-Denis Mathias
Susan Spierre Clark
Nuri Onat
Thomas P. Seager
spellingShingle Jean-Denis Mathias
Susan Spierre Clark
Nuri Onat
Thomas P. Seager
An Integrated Dynamical Modeling Perspective for Infrastructure Resilience
Infrastructures
resilience
infrastructure
dynamical controlled system
outcome
process
resources
power system
author_facet Jean-Denis Mathias
Susan Spierre Clark
Nuri Onat
Thomas P. Seager
author_sort Jean-Denis Mathias
title An Integrated Dynamical Modeling Perspective for Infrastructure Resilience
title_short An Integrated Dynamical Modeling Perspective for Infrastructure Resilience
title_full An Integrated Dynamical Modeling Perspective for Infrastructure Resilience
title_fullStr An Integrated Dynamical Modeling Perspective for Infrastructure Resilience
title_full_unstemmed An Integrated Dynamical Modeling Perspective for Infrastructure Resilience
title_sort integrated dynamical modeling perspective for infrastructure resilience
publisher MDPI AG
series Infrastructures
issn 2412-3811
publishDate 2018-05-01
description 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.
topic resilience
infrastructure
dynamical controlled system
outcome
process
resources
power system
url http://www.mdpi.com/2412-3811/3/2/11
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