Please use this identifier to cite or link to this item:
DC FieldValueLanguage
dc.contributor.authorAbaza, Khaled A.en_US
dc.description.abstractTwo empirical Markovian-based models are presented in this paper to predict the transition probabilities associated with rehabilitated pavement. The first model predicts the staged-homogenous transition probabilities as required by the staged-homogenous Markov model. The second model predicts the nonhomogenous transition probabilities as applicable to the non-homogenous Markov model. In both the models, the deterioration transition probabilities are predicted as a function of the corresponding values associated with original pavement and two adjustment factors reflecting the impacts of increased traffic load applications and decreased pavement strength. The predicted transition probabilities are used to estimate the future distress ratings required for developing the corresponding life cycle performance curve. The life cycle performance/cost ratio is used to evaluate the cost-effectiveness of potential longterm M&R plans. The life cycle performance is defined as the area falling under the life cycle curve. The lifecycle cost is estimated to include initial construction cost, routine maintenance cost, major rehabilitation cost, and added user cost due to work zone. Two proposed cost models are used in the case study for estimating routine maintenance and added user costs. The case study indicates that the proposed empirical Markovian-based models have provided reasonable estimates of the transition probabilities as reflected by the corresponding life cycle performance curvesen_US
dc.subjectMarkovian processesen_US
dc.subjectPavements - Performanceen_US
dc.subjectPavements - Performance predictionen_US
dc.subjectPavements - Life cycle analysisen_US
dc.subjectPavement managementen_US
dc.subjectPavements - Maintenance and repairen_US
dc.subjectPavement rehabilitationen_US
dc.titleEmpirical Markovian based models for rehabilitated pavement performance used in a life cycle analysis approachen_US
newfileds.departmentEngineering and Technologyen_US
item.fulltextWith Fulltext-
Appears in Collections:Fulltext Publications
Show simple item record

Page view(s)

checked on May 11, 2022


checked on May 11, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.