NDLI: Bayesian economic analyses of including reclaimed asphalt pavements in flexible pavement rehabilitation

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Bayesian economic analyses of including reclaimed asphalt pavements in flexible pavement rehabilitation

Content Provider	Scilit
Author	Gong, Hongren Zhang, Miaomiao Hu, Wei Huang, Baoshan
Copyright Year	2020
Description	Sustainable infrastructure requires pavement maintenance and rehabilitation to be environmentally beneﬁcial and economically efficient. With the ever-depleting natural resources and growing demands for sustainable infrastructure, the use of reclaimed asphalt pavement (RAP) materials has seen a steady increase. This study used Bayesian-based life cycle cost analysis (LCCA) to determine the long-term economic effectiveness of using RAP in rehabilitation. Field observed performance data retrieved from the database of Speciﬁc Pavement Study 5 (SPS-5) of the Long-Term Pavement Performance (LTPP) project were used to develop the performance model, which was then employed to determine the service life of the competing alternatives. According to the posterior distributions identiﬁed through the Markov chain Monte Carlo (MCMC) simulations, the overlay thickness was best ﬁtted by the log-normal distribution. The LCCA indicated that the use of RAP in rehabilitative projects reduced the life cycle cost around 20%. Book Name: Pavement, Roadway, and Bridge Life Cycle Assessment 2020
Related Links	https://content.taylorfrancis.com/books/download?dac=C2020-0-14651-6&isbn=9781003092278&doi=10.1201/9781003092278-31&format=pdf
Ending Page	303
Page Count	10
Starting Page	294
DOI	10.1201/9781003092278-31
Language	English
Publisher	Informa UK Limited
Publisher Date	2020-07-02
Access Restriction	Open
Subject Keyword	Book Name: Pavement, Roadway, and Bridge Life Cycle Assessment 2020 Environmental Engineering Environmental Sciences Rehabilitation Model Bayesian Projects Asphalt Rap Pavement Lcca Sustainable Infrastructure Reclaimed
Content Type	Text
Resource Type	Chapter

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