Network Deterioration Prediction for Reinforced Concrete Pipe and Box Culverts Using Markov Model: Case Study-Reference-Cited by-同舟云学术

Network Deterioration Prediction for Reinforced Concrete Pipe and Box Culverts Using Markov Model: Case Study

Published:2022-12 Issue:6 Volume:36 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Tran Huu¹^ORCID,Lokuge Weena²^ORCID,Setunge Sujeeva³,Karunasena Warna⁴^ORCID

Affiliation:

1. Research Fellow, School of Engineering, Royal Melbourne Institute of Technology Univ., Melbourne, VIC 3000, Australia. ORCID: .

2. Associate Professor, Centre for Future Materials, School of Engineering, Univ. of Southern Queensland, Springfield, QLD 4300, Australia (corresponding author). ORCID: .

3. Professor, School of Engineering, Royal Melbourne Institute of Technology Univ., Melbourne, VIC 3000, Australia.

4. Professor, Centre for Future Materials, School of Engineering, Univ. of Southern Queensland, Springfield, QLD 4300, Australia. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001766

Reference22 articles.

1. Empirical approach for estimating the pavement transition probabilities used in non-homogenous Markov chains

2. Estimating Transition Probabilities in Markov Chain-Based Deterioration Models for Management of Wastewater Systems

3. Effect of Runtime on the Deterioration of HVAC Components in Building Services

4. Modeling of corrosion-induced concrete cover cracking: A critical analysis

5. Sewer Structural Condition Prediction Integrating Bayesian Model Averaging with Logistic Regression

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1. Stochastic Prediction of Road Network Degradation Based on Field Monitoring Data;Journal of Construction Engineering and Management;2023-10

2. Reliability Assessment of Reinforced Concrete Sewer Pipes under Adverse Environmental Conditions: Case Study for the City of Arlington, Texas;Journal of Pipeline Systems Engineering and Practice;2023-05

3. Evaluating various machine learning algorithms for automated inspection of culverts;Engineering Analysis with Boundary Elements;2023-03