Development of an Integrated Method for Probabilistic Bridge-Deterioration Modeling

Author:

Bu Guoping1,Lee Jaeho2,Guan Hong3,Blumenstein Michael4,Loo Yew-Chaye5

Affiliation:

1. Ph.D. Candidate, Griffith School of Engineering, Gold Coast Campus, Griffith Univ., QLD 4222, Australia (corresponding author).

2. Research Fellow, Centre for Infrastructure Engineering and Management, Gold Coast Campus, Griffith Univ., QLD 4222, Australia.

3. Associate Professor, Griffith School of Engineering, Gold Coast Campus, Griffith Univ., QLD 4222, Australia.

4. Associate Professor, School of Information and Communication Technology, Griffith Univ., QLD 4222, Australia.

5. Foundation Professor of Civil Engineering, Griffith Univ., QLD 4222, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Reference19 articles.

1. Deterioration Rates of Typical Bridge Elements in New York

2. Pavement performance prediction model using the Markov process;Butt A. A.;Transportation Research Record 1123,1987

3. Method for Estimating Transition Probability in Bridge Deterioration Models

4. Devaraj D. (2009). “Application of non-homogeneous Markov chains in bridge management systems.” Ph.D. thesis Wayne State Univ. Detroit.

5. Jiang Y. (1990). “The development of performance prediction and optimization models for bridge management systems.” Ph.D. thesis Purdue Univ. West Lafayette IN.

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