An integrated framework for bridge infrastructure resilience analysis against seismic hazard

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ABSTRACT

Resilient bridge infrastructure is a fundamental component of an uninterrupted transportation system. Thus, assessing the resilience of bridge infrastructure against natural hazards is crucial for transportation agencies. Therefore, the main objective of this study is to develop an integrated framework for analyzing the bridge infrastructure resilience against seismic hazards. The Dempster-Shafer method has been incorporated with the Best Worst Method to achieve this objective and accommodate uncertainty. At first, various resilience criteria have been identified based on an extensive literature review. The weights of the resilience criteria have been determined using the Best Worth Method based on the response provided by the experts. After that, the Dempster-Shafer rule of combination has been used to assess the seismic resilience of a highway bridge by proposing a Bridge Resilience Index. This proposed resilience framework can support transportation agencies in taking effective strategies against seismic hazards.

KEYWORDS:

• Resilience
• bridge infrastructure
• seismic hazard
• best worst method
• Dempster-Shafer theory

Acknowledgments

The second author acknowledges the financial support through Natural Science and Engineering Research Council of Canada Discovery Grant Program (RGPIN-2019-04704).

Disclosure statement

The Coalition for Disaster Resilient Infrastructure (CDRI) reviewed the anonymised abstract of the article, but had no role in the peer review process nor the final editorial decision.

Data availability statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Funding

This work was supported by the Natural Science and Engineering Research Council of Canada [RGPIN-2019-04704]. The Article Publishing Charge (APC) for this article is funded by the Coalition for Disaster Resilient Infrastructure (CDRI).

Notes on contributors

Saiful Arif Khan

Md Saiful Arif Khan is a Ph.D. student in Industrial Systems Engineering at the Faculty of Engineering & Science and has been working as a Research Assistant in the Sustainable and Resilient System Analytics Group at the University of Regina (UofR), Canada, since 2020. His research focuses on the resilience analysis of bridge infrastructure. Prior to attending UofR, he earned a Master of Science in Civil Engineering from the University of Alabama at Birmingham in the United States. Mr. Khan graduated from the Bangladesh University of Engineering & Technology in 2008 with a bachelor's degree in civil engineering. He has almost a decade of professional and academic expertise in Transportation Infrastructure Asset Management.

Golam Kabir

Golam Kabir is an Associate Professor in the Industrial Systems Engineering program at the University of Regina, Canada and an Adjunct Professor at the Department of Mechanical, Automotive and Materials Engineering, University of Windsor, Canada. He received his Ph.D. from the University of British Columbia (UBC), Canada. He completed his Masters and Bachelor degrees from the Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology (BUET), Bangladesh. He has published more than 150 referred journal and conference papers and was involved in multiple NSERC funded projects. His major research interests include system risk, reliability, resilience assessment, interdependent network resilience analytics, sustainable system analytics, and data-driven decision making.

Muntasir Billah

AHM Muntasir Billah is an assistant professor in The Department of Civil Engineering at the University of Calgary, Canada. He received his PhD in structural engineering from the University of British Columbia, Canada. His research is focused towards improving our understanding of the behaviour of civil infrastructures under various extreme load conditions. His research interests include performance-based seismic design and retrofit of bridges, application of high-performance materials, and multi hazard resilience of infrastructure.

Subhrajit Dutta

Subhrajit Dutta is an Assistant Professor in the Department of Civil Engineering at National Institute of Technology Silchar. He completed his Ph.D. in Civil Engineering from Indian Institute of Technology Bombay in 2017. He has received a sponsored research grant amount of around 2.5 crores INR, and is involved in significant consulting work. He has published more than 50 international journal papers till date. Subhrajit’s research group is currently working on areas like, probabilistic structural mechanics, system reliability/risk analysis, uncertainty quantification, structural optimization under uncertainty, structure & infrastructure resilience, AI/ML in structural engineering, to mention a few. He is also serving as an Editor, Guest Editor for various prestigious journals.