Sustainability-informed maintenance optimization of highway bridges considering multi-attribute utility and risk attitude

Samantha Sabatino, Dan M. Frangopol, You Dong

Research output: Contribution to journalArticlepeer-review

108 Scopus citations

Abstract

Throughout their service life, highway bridges deteriorate due to increasing traffic loads and aggressive environmental conditions. Aging of materials can have significant effects on the structural performance of highway bridges. A comprehensive risk assessment procedure is crucial in evaluating and ultimately mitigating detrimental consequences of structural failure to the economy, society, and the environment. The proposed sustainability-based maintenance optimization decision-support framework provides decision makers with optimal life-cycle maintenance actions that balance conflicting objectives. Utility theory is employed herein in order to effectively capture the sustainability performance of highway bridges and impact of the decision maker's risk attitude. The main objective of this framework is to reduce the extent of the consequences of structural failure to the economy, society, and the surrounding environment. The capabilities of the proposed approach are demonstrated on an existing highway bridge.

Original languageEnglish
Pages (from-to)310-321
Number of pages12
JournalEngineering Structures
Volume102
DOIs
StatePublished - Nov 1 2015
Externally publishedYes

Funding

The support from (a) the National Science Foundation through grant CMS-0639428, (b) the Commonwealth of Pennsylvania, Department of Community and Economic Development, through the Pennsylvania Infrastructure Technology Alliance (PITA), and (c) the U.S. Federal Highway Administration Cooperative Agreement Award DTFH61-07-H-00040 is gratefully acknowledged. The opinions and conclusions presented in this paper are those of the authors and do not necessarily reflect the views of the sponsoring organizations.

FundersFunder number
Pennsylvania Infrastructure Technology Alliance
National Science FoundationCMS-0639428
Federal Highway AdministrationDTFH61-07-H-00040

    Keywords

    • Highway bridge
    • Infrastructure management
    • Maintenance optimization
    • Multi-attribute utility theory
    • Risk attitudes
    • Sustainability

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