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- W27979413 abstract "The aging of the United States (US) infrastructure is one of the current societal concerns. Many experts agree that a significant portion of US infrastructure is in the “accelerated damaged” zone. Therefore, at this stage of deterioration if there is no serious effort to rehabilitate our aging infrastructure, they will reach a point where colossal investments will be required to recover them. To assist in this vein, a framework is developed for sustainable infrastructure system with a specific focus on prioritizing maintenance activities subject to operational and budgetary constraints. While the framework here considers culvert/pipe networks; its proposed methodology is portable to other infrastructures’ types. The development process utilizes results from previous research on “Culvert Information Management System” (that dealt with identifying critical sections, inspection, prediction of service life based on the current condition states of the different culverts/pipes and assessing the present asset value) to provide the underpinning for building a stochastic optimization framework. Among the salient features of the framework is its proactive nature, which affords decision makers the means of conducting a comprehensive analysis to determine the optimal proactive schedule of the proper maintenance actions including inspection (that is whether to replace or rehabilitate the parts under consideration) and to prioritize them accordingly." @default.
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- W27979413 date "2011-01-01" @default.
- W27979413 modified "2023-10-17" @default.
- W27979413 title "A Stochastic Framework for Sustainable Infrastructure--Application to Pipes and Culverts" @default.
- W27979413 hasPublicationYear "2011" @default.
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