A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimal Facility-Specific Inspection and Maintenance Decisions under Measurement Uncertainty: Unifying Framework
Monitoring and maintaining a system of degradable infrastructure facilities imposes considerable costs on transportation agencies. To find the optimal timing and type of maintenance, rehabilitation, and reconstruction (MR&R) activities, Markovian models have been widely used, usually under the assumptions of fixed inspection schedule and error-free measurements. For a system of infrastructure facilities, identifying facility-specific MR&R activities is challenging and has garnered attention only recently. This paper presents a unifying framework that seeks the optimal spatial and temporal distributions of inspection and MR&R (IMR&R) decisions for a system of infrastructure facilities in the presence of measurement uncertainty. The framework is numerically shown to generate aggregate system-level results which are consistent with the findings in the previous research. At the disaggregate level, however, it is found that the timing and type of IMR&R policies for some facilities will impose facility-level costs that do not follow the increasing trend of aggregate system-level costs as the inspection measurement error increases. This highlights the need for adopting the facility-specific approach when planning IMR&R policies for a system of infrastructure facilities.
Optimal Facility-Specific Inspection and Maintenance Decisions under Measurement Uncertainty: Unifying Framework
Monitoring and maintaining a system of degradable infrastructure facilities imposes considerable costs on transportation agencies. To find the optimal timing and type of maintenance, rehabilitation, and reconstruction (MR&R) activities, Markovian models have been widely used, usually under the assumptions of fixed inspection schedule and error-free measurements. For a system of infrastructure facilities, identifying facility-specific MR&R activities is challenging and has garnered attention only recently. This paper presents a unifying framework that seeks the optimal spatial and temporal distributions of inspection and MR&R (IMR&R) decisions for a system of infrastructure facilities in the presence of measurement uncertainty. The framework is numerically shown to generate aggregate system-level results which are consistent with the findings in the previous research. At the disaggregate level, however, it is found that the timing and type of IMR&R policies for some facilities will impose facility-level costs that do not follow the increasing trend of aggregate system-level costs as the inspection measurement error increases. This highlights the need for adopting the facility-specific approach when planning IMR&R policies for a system of infrastructure facilities.
Optimal Facility-Specific Inspection and Maintenance Decisions under Measurement Uncertainty: Unifying Framework
Nazari, Fatemeh (author) / Noruzoliaee, Mohamadhossein (author) / Zou, Bo (author) / Mohammadian, Abolfazl (Kouros) (author)
2017-10-05
Article (Journal)
Electronic Resource
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