Comparison of Markovian-Based Bridge Deterioration Model Approaches
Author:
Affiliation:
1. Univ. of Texas at El Paso, 500 W. University Ave, El Paso, TX 79968.
2. Univ. of Texas at El Paso, 500 W. University Ave, El Paso, TX 79968 (corresponding author). ORCID: .
Publisher
American Society of Civil Engineers (ASCE)
Subject
Building and Construction,Civil and Structural Engineering
Link
https://ascelibrary.org/doi/pdf/10.1061/JBENF2.BEENG-5920
Reference41 articles.
1. Deterioration Rates of Typical Bridge Elements in New York
2. Upscaling Complex Project-Level Infrastructure Intervention Planning to Network Assets
3. Assaad R. and I. El-Adaway. 2020. “Forecasting and modeling bridge deterioration using data mining analytics.” In Proc. Construction Research Congress 2020: Computer Applications 125–134. Reston VA: ASCE.
4. Estimating Transition Probabilities in Markov Chain-Based Deterioration Models for Management of Wastewater Systems
5. Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures
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