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Survival Analysis for Concrete Pavement Service Life Assessment
Operators and owners of roadways and airfields around the world spend a great deal of resources monitoring the condition of their pavements. Collection and analysis of these data are critical to predicting remaining service life, which is needed to plan future maintenance and rehabilitation activities. Understanding typical pavement service life is also important to the decision-making process for new pavement design and construction, including for activities such as life cycle cost analysis and life cycle assessment. Survival analysis is a statistical technique to analyze and model the expected amount of time before an event occurs. Widely-used in fields such as clinical medicine, epidemiology, and finance, researchers have also used survival analysis to study the performance of pavements and rehabilitation treatments. The survival life of a pavement may be defined in terms of time from construction until major rehabilitation or reconstruction, or time until various measures of pavement condition reach a critical performance threshold. This study provides a review of the literature of survival analysis applied to different types of concrete pavements and concrete pavement rehabilitation treatments, including concrete overlays. These analyses have used a variety of estimators to model concrete pavement service life, to investigate the sensitivity of concrete pavement performance to different design and construction parameters, and to compare the relative performance of different types of designs and rehabilitation treatments. The outcomes of these studies indicate that survival analysis is a useful tool for probabilistic estimation of concrete pavement service life and can provide useful insight into important factors in concrete pavement performance.
Survival Analysis for Concrete Pavement Service Life Assessment
Operators and owners of roadways and airfields around the world spend a great deal of resources monitoring the condition of their pavements. Collection and analysis of these data are critical to predicting remaining service life, which is needed to plan future maintenance and rehabilitation activities. Understanding typical pavement service life is also important to the decision-making process for new pavement design and construction, including for activities such as life cycle cost analysis and life cycle assessment. Survival analysis is a statistical technique to analyze and model the expected amount of time before an event occurs. Widely-used in fields such as clinical medicine, epidemiology, and finance, researchers have also used survival analysis to study the performance of pavements and rehabilitation treatments. The survival life of a pavement may be defined in terms of time from construction until major rehabilitation or reconstruction, or time until various measures of pavement condition reach a critical performance threshold. This study provides a review of the literature of survival analysis applied to different types of concrete pavements and concrete pavement rehabilitation treatments, including concrete overlays. These analyses have used a variety of estimators to model concrete pavement service life, to investigate the sensitivity of concrete pavement performance to different design and construction parameters, and to compare the relative performance of different types of designs and rehabilitation treatments. The outcomes of these studies indicate that survival analysis is a useful tool for probabilistic estimation of concrete pavement service life and can provide useful insight into important factors in concrete pavement performance.
Survival Analysis for Concrete Pavement Service Life Assessment
RILEM Bookseries
Beushausen, Hans (Herausgeber:in) / Ndawula, Joanitta (Herausgeber:in) / Alexander, Mark (Herausgeber:in) / Dehn, Frank (Herausgeber:in) / Moyo, Pilate (Herausgeber:in) / King, Daniel (Autor:in) / Taylor, Peter (Autor:in)
International Conference on Concrete Repair, Rehabilitation and Retrofitting ; 2024 ; Cape Town, South Africa
01.11.2024
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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