Abstract
Highway bridges are constantly subjected to deterioration mechanisms that contribute to an overall decrease in structural resistance and increase in loads over their life-cycle. In order to ensure that the performance of bridges is maintained throughout their lifetime, cost efficient bridge intervention planning must be considered. An optimization procedure for life-cycle inspection and maintenance planning of highway bridges is proposed herein. The proposed approach considers three objectives: the minimization of life-cycle costs, the maximization of sustainability, and the minimization of the expected damage detection delay, all in a probabilistic, life-cycle context. Utility functions are used in order to consistently quantify and compare the three aforementioned objectives. Overall, the proposed approach can be used to establish optimum lifetime inspection and maintenance plans for highway bridges considering life-cycle costs, sustainability, and expected damage detection delay.
Original language | English |
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Title of host publication | Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 |
Editors | Nigel Powers, Dan M. Frangopol, Riadh Al-Mahaidi, Colin Caprani |
Publisher | CRC Press/Balkema |
Pages | 1052-1057 |
Number of pages | 6 |
ISBN (Print) | 9781138730458 |
State | Published - 2018 |
Externally published | Yes |
Event | 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 - Melbourne, Australia Duration: Jul 9 2018 → Jul 13 2018 |
Publication series
Name | Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 |
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Conference
Conference | 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 |
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Country/Territory | Australia |
City | Melbourne |
Period | 07/9/18 → 07/13/18 |
Funding
The support from (a) the National Science Foundation through grant CMMI-1537926, (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.