Optimal Resilience- and Cost-Based Postdisaster Intervention Prioritization for Bridges along a Highway Segment

Bocchini, Paolo; Frangopol, Dan M.

doi:10.1061/(asce)be.1943-5592.0000201

Cited by 167 publications

(88 citation statements)

References 18 publications

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“…However, these restoration strategies may come with costs that need to be balanced between the resilience cost and restoration cost. Bocchini and Frangopol (2010) took this issue into consideration and purposed a general framework that maximize resilience and minimize the total intervention cost for bridges along a highway connection between two cities that have experience disruptive events [22].…”

Section: Chapter 2 Literature Reviewmentioning

confidence: 99%

A framework of factors affecting supply chain flood resilience

Chaidilok

Olapiriyakul

2017

2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC)

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Section: Chapter 2 Literature Reviewmentioning

confidence: 99%

A framework of factors affecting supply chain flood resilience

Chaidilok

Olapiriyakul

2017

2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC)

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“…Frangopol and Bocchini (2011) used an optimization criterion for rehabilitation schedules of a network of bridges subject to earthquake events. Bocchini and Frangopol (2012) presented a general framework for optimizing rehabilitation levels and cost-based prioritization of bridges within a highway segment after a hazard event. Francis and Bekera (2014) presented resilience metrics for infrastructure systems based on the speed of recovery and performance levels prior to and immediately after an event, as well as final recovery levels, with an example for electric power.…”

Section: Overview Of Infrastructure Resiliencementioning

confidence: 99%

Risk-Based Decision Making for Sustainable and Resilient Infrastructure Systems

2016

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Vous avez des questions? Nous pouvons vous aider. Pour communiquer directement avec un auteur, consultez la première page de la revue dans laquelle son article a été publié afin de trouver ses coordonnées. Si vous n'arrivez pas à les repérer, communiquez avec nous à PublicationsArchive-ArchivesPublications@nrc-cnrc.gc.ca. Questions? Contact the NRC Publications Archive team atPublicationsArchive-ArchivesPublications@nrc-cnrc.gc.ca. If you wish to email the authors directly, please see the first page of the publication for their contact information. NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. NRC Publications Record / Notice d'Archives des publications de CNRC:http://nparc.cisti-icist.nrc-cnrc.gc.ca/eng/view/object/?id=8b2bceaa-5a38-4c47-82c0-4c960717dee8 http://nparc.cisti-icist.nrc-cnrc.gc.ca/fra/voir/objet/?id=8b2bceaa-5a38-4c47-82c0-4c960717dee8 1 Risk-Based Decision Making for Sustainable and Resilient Infrastructure SystemsZoubir Lounis 1 and Therese P. McAllister 2 Abstract: The development of infrastructure systems that are sustainable and resilient is a challenging task that involves a broad range of performance indicators over the system life cycle that affect system functionality and recovery. Sustainability indicators address economic, social, and environmental performance metrics and resilient indicators address strength, functionality, and recovery time metrics following a hazard event. Sustainable systems consider environmental impact and conservation of n on-renewable resources over the life of the system. Resilient systems consider performance levels relative to potential damage levels and recovery times from events. Both concepts address adequate system performance and life cycle costs, but put a different emphasis on other indicators. Numerous sources of uncertainties associated with the life cycle performance of infrastructure systems require the use of a risk-informed decision making approach to properly account for uncertainties and to identify cost-effective strategies to manage risk. A framework for risk-informed decision-making for the life cycle performance of infrastructure facilities that includes consideration of sustainability and resilience is presented. Separate examples are provided for the same highway bridge deck system to illustrate sustainable and resilient performance objectives with the design and rehabilitation of highway bridge decks. The sustainability assessment considers the effect of corrosion degradation mechanisms on life cycle costs, environmental impact (CO 2 and waste), and social impacts (accidents and user time) while maintaining service life and structural safety. The resilience assessment considers the effect of seismic hazard events on structural damage levels, and ...

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“…Common themes for characterizing transportation system resilience include the need to assess component reliability under multiple hazards, model connectivity within the network, evaluate the recovery trajectory and quantify the associated impacts on community functions. A significant body of work exists on modeling the fragility of transportation infrastructure to aging, with emphasis placed on resilience assessment of bridge networks (e.g., Bocchini & Frangopol 2013), but with only limited work on other modes of transportation. In the transportation network developed within the NIST-CoE, temporal effects (e.g., aging, time lag in multiple events, sequence of restoration) will be captured along with spatial considerations across a regionally distributed network (e.g., damage correlations).…”

Section: Modelling the Built Environmentmentioning

confidence: 99%

Computational environment for modeling and enhancing community resilience: Introducing the center for risk-based community resilience planning

Lindt¹,

Ellingwood²,

McAllister³

et al. 2015

Proceedings of the Second International Conference on Performance-Based and Life-Cycle Structural Engineering (PLSE 2015)

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The resilience of a community is defined as its ability to prepare for, withstand, recover from and adapt to the effects of natural or human-caused disasters, and depends on the performance of the built environment and on supporting social, economic and public institutions that are essential for immediate response and long-term recovery and adaptation. The performance of the built environment generally is governed by codes, standards, and regulations, which are applicable to individual facilities and residences, are based on different performance criteria, and do not account for the interdependence of buildings, transportation, utilities and other infrastructure sectors. The National Institute of Standards and Technology recently awarded a new Center of Excellence (NIST-CoE) for Risk-Based Community Resilience Planning, which is headquartered at Colorado State University and involves nine additional universities. Research in this Center is focusing on three major research thrusts: (1) developing the NIST-Community Resilience Modeling Environment known as NIST-CORE, thereby enabling alternative strategies to enhance community resilience to be measured quantitatively; (2) developing a standardized data ontology, robust data architecture and data management tools in support of NIST-CORE; and (3) performing a comprehensive set of hindcasts on disasters to validate the data architecture and NIST-CORE.

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Optimal Resilience- and Cost-Based Postdisaster Intervention Prioritization for Bridges along a Highway Segment

Cited by 167 publications

References 18 publications

A framework of factors affecting supply chain flood resilience

A framework of factors affecting supply chain flood resilience

Risk-Based Decision Making for Sustainable and Resilient Infrastructure Systems

Computational environment for modeling and enhancing community resilience: Introducing the center for risk-based community resilience planning

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