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Bridge management using principles of whole life costing and life cycle assessment subject to uncertainty

NH Jin, MK Chryssanthopoulos, Gar Parke

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Abstract

A new methodology for bridge management is proposed which encompasses whole life costing and life cycle assessment objectives under conditions of uncertainty. Stochastic multi-criteria decision analysis is used in order to calculate the most preferable maintenance scenario in terms of a linear combination of whole life cost and environmental score defined through the decision-maker's preference. The proposed methodology, which could be of use at project or network level, is demonstrated through a simple example of a reinforced concrete bridge element.

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A new methodology for bridge management is proposed which encompasses whole life costing and life cycle assessment objectives under conditions of uncertainty. Stochastic multi-criteria decision analysis is used in order to calculate the most preferable maintenance scenario in terms of a linear combination of whole life cost and environmental score defined through the decision-maker's preference. The proposed methodology, which could be of use at project or network level, is demonstrated through a simple example of a reinforced concrete bridge element.

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Available abstract

A new methodology for bridge management is proposed which encompasses whole life costing and life cycle assessment objectives under conditions of uncertainty. Stochastic multi-criteria decision analysis is used in order to calculate the most preferable maintenance scenario in terms of a linear combination of whole life cost and environmental score defined through the decision-maker's preference. The proposed methodology, which could be of use at project or network level, is demonstrated through a simple example of a reinforced concrete bridge element.

Key concepts: Bridge (graph theory), Activity-based costing, Life cycle costing, Life-cycle assessment, Operations research, Computer science, Preference, Decision maker

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