Bayesian Analysis of Pavement Maintenance Failure Probability with Markov Chain Monte Carlo Simulation

Author:

Chen Xueqin1ORCID,Dong Qiao2,Gu Xingyu3,Mao Quan4

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, College of Science, Nanjing Univ. of Science and Technology, 200 Xiaolingwei St., Nanjing, Jiangsu 210094, China. ORCID: .

2. Professor, Dept. of Highway and Railway Engineering, School of Transportation, Southeast Univ., 2 Dongnan Daxue Rd., Jiangning District, Nanjing, Jiangsu 211189, China (corresponding author).

3. Associate Professor, Dept. of Highway and Railway Engineering, School of Transportation, Southeast Univ., 2 Dongnan Daxue Rd., Jiangning District, Nanjing, Jiangsu 211189, China.

4. Senior Engineer, Jiangsu Expressway Engineering Maintenance Technology Co. Ltd., 2 Maqun Ave., Qixia District, Nanjing, Jiangsu 210049, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference56 articles.

1. Deterministic Performance Prediction Model for Rehabilitation and Management of Flexible Pavement

2. Empirical Markovian-based models for rehabilitated pavement performance used in a life cycle analysis approach

3. Predicting remaining strength of flexible pavement and overlay design thickness with stochastic modeling;Abaza K. A.;Transp. Res. Rec.,2009

4. Aggregate and disaggregate statistical evaluation of the performance-based effectiveness of long-term pavement performance specific pavement study-5 (LTPP SPS-5) flexible pavement rehabilitation treatments;Ahmed A.;Struct. Infrastruct. Eng.,2013

5. ESTIMATION OF REST PERIODS FOR NEWLY CONSTRUCTED/RECONSTRUCTED PAVEMENTS

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