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- W4380450083 abstract "Abstract this paper proposes three different models for investigating the long-term performance of routine maintenance works using the discrete-time Markov model. The three models are called ( M1 , M2 & M3 ) models representing specific forms of the transition probability matrix. The ( M1 ) model only incorporates the routine maintenance variables (M i,i−1 ) under the assumption of only one-state upgrade. The ( M2 & M3 ) models incorporate both routine maintenance variables (M i,i−1 ), and major rehabilitation variables (Q i,1 ) under the assumption of upgrade to condition state ( 1 ). Two different modelling methods are proposed for pavement long-term performance investigation in the presence of maintenance and rehabilitation (M&R) variables. The first one is the project-level approach as applied to small pavement networks which assumes that all M&R works can be performed in a short-time period. The second one is the network-level approach which requires the M&R works to be spanned over the entire year as applied to large pavement networks. A model cost-effectiveness index is proposed to evaluate the long-term performance of potential M&R schedules under unconstrained annual budget, while M&R variable cost-effectiveness indices are proposed as useful parameters for yielding optimal M&R schedules under constrained annual budget. The sample results indicated the unrealistic performance of the ( M1 ) model, and the usefulness of the ( M2 & M3 ) models in yielding reliable long-term M&R schedules. The unconstrained approach indicated the optimal M&R schedule is the one associated with highest M&R variable values, and the constrained approach revealed that the optimal solutions are dominated by M&R variables with lowest cost-effectiveness indices." @default.
- W4380450083 created "2023-06-14" @default.
- W4380450083 creator A5078208275 @default.
- W4380450083 date "2023-06-13" @default.
- W4380450083 modified "2023-09-27" @default.
- W4380450083 title "Theoretical framework for incorporating routine maintenance long-term performance into pavement management using Markov chains" @default.
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- W4380450083 doi "https://doi.org/10.21203/rs.3.rs-3046384/v1" @default.
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