Sustainability-based pre-earthquake probabilistic retrofit optimization of highway bridges considering risk attitudes

Y. Dong, D. M. Frangopol, S. Sabatino

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Planning retrofit actions on existing highway bridges under tight budget constraints is a challenging process. This can be achieved through a holistic management framework that accounts for uncertainties and attitudes of the decision maker. In this paper, a probabilistic methodology to establish optimum preearthquake retrofit plans for bridges considering risk attitudes is developed. A multi-criteria optimization problem is formulated to obtain the optimum retrofit planning of highway bridges. The uncertainties associated with seismic hazard and structural vulnerability are incorporated within the proposed approach. The time effects on structural seismic performance are included in the proposed framework. The optimum Pareto set of final retrofit planning is obtained using Genetic Algorithms. The capabilities of the proposed methodology are demonstrated by applying it to an existing bridge.

Original languageEnglish
Title of host publicationBridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014
PublisherTaylor and Francis - Balkema
Pages284-289
Number of pages6
ISBN (Print)9781138001039
DOIs
StatePublished - 2014
Externally publishedYes
Event7th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2014 - Shanghai, China
Duration: Jul 7 2014Jul 11 2014

Publication series

NameBridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014

Conference

Conference7th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2014
Country/TerritoryChina
CityShanghai
Period07/7/1407/11/14

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