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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 11, 2015 - Issue 11
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Articles

Investigation of the use of three existing methodologies to determine optimal life-cycle activity profiles for bridges

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Pages 1484-1509 | Received 21 Jan 2014, Accepted 13 Aug 2014, Published online: 17 Nov 2014

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Read on this site (3)

Numa J. Bertola & Eugen Brühwiler. (2023) Risk-based methodology to assess bridge condition based on visual inspection. Structure and Infrastructure Engineering 19:4, pages 575-588.
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Matteo Maria Messore, Luca Capacci & Fabio Biondini. (2021) Life-cycle cost-based risk assessment of aging bridge networks. Structure and Infrastructure Engineering 17:4, pages 515-533.
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Zanyar Mirzaei & Bryan T. Adey. (2018) Determination of the most sustainable bridge work programs through the improved structure level considerations. Structure and Infrastructure Engineering 14:8, pages 1123-1139.
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Articles from other publishers (6)

Li Li, Yu Lu & Miaojuan Peng. (2022) Deterioration Model for Reinforced Concrete Bridge Girders Based on Survival Analysis. Mathematics 10:23, pages 4436.
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David Y. Yang. (2022) Deep Reinforcement Learning–Enabled Bridge Management Considering Asset and Network Risks. Journal of Infrastructure Systems 28:3.
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Mohammad Hosein Nili, Hosein Taghaddos & Banafsheh Zahraie. (2021) Integrating discrete event simulation and genetic algorithm optimization for bridge maintenance planning. Automation in Construction 122, pages 103513.
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Bryan T Adey. (2019) A road infrastructure asset management process: gains in efficiency and effectiveness. Infrastructure Asset Management 6:1, pages 2-14.
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Ivan Zambon, Anja Vidović, Alfred Strauss & Jose Matos. (2019) Condition Prediction of Existing Concrete Bridges as a Combination of Visual Inspection and Analytical Models of Deterioration. Applied Sciences 9:1, pages 148.
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Nam LethanhBryan T. AdeyMarcel Burkhalter. (2018) Determining an Optimal Set of Work Zones on Large Infrastructure Networks in a GIS Framework. Journal of Infrastructure Systems 24:1.
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