A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Residual Life Estimation for Flexible Pavements Using Serviceability Index
Accurate prediction of serviceability is crucial in selecting the appropriate maintenance strategies for pavement management systems. Pavement Condition Index (PCI) measures the serviceability levels of pavements based on distresses. In general, the reduction in serviceability can be majorly attributed to traffic, environmental factors, and material properties. This study aimed to develop a comprehensive deterioration model incorporating various factors contributing to pavement conditions. A total of 97 pavement sections were filtered from Long-Term Pavement Performance (LTPP) database that covered 19 pavement distresses, such as rutting, fatigue cracking, block cracking, longitudinal cracking, transverse cracking, patching, potholes, etc. The deterioration model was established that help estimate the pavement conditions as a function of structural capacity of pavement, and environmental and climatic conditions. Two regression coefficients, which were part of deterioration model, were further correlated with traffic, structural condition of pavement, and climatic conditions. Furthermore, the accuracy of the deterioration model was measured using R2 = 0.75 and Se/Sy = 0.05 which indicates a good correlation between the observed PCI obtained from distress condition and predicted PCI from the deterioration model. In summary, this model can be effectively used to estimate the residual life in terms of PCI.
Residual Life Estimation for Flexible Pavements Using Serviceability Index
Accurate prediction of serviceability is crucial in selecting the appropriate maintenance strategies for pavement management systems. Pavement Condition Index (PCI) measures the serviceability levels of pavements based on distresses. In general, the reduction in serviceability can be majorly attributed to traffic, environmental factors, and material properties. This study aimed to develop a comprehensive deterioration model incorporating various factors contributing to pavement conditions. A total of 97 pavement sections were filtered from Long-Term Pavement Performance (LTPP) database that covered 19 pavement distresses, such as rutting, fatigue cracking, block cracking, longitudinal cracking, transverse cracking, patching, potholes, etc. The deterioration model was established that help estimate the pavement conditions as a function of structural capacity of pavement, and environmental and climatic conditions. Two regression coefficients, which were part of deterioration model, were further correlated with traffic, structural condition of pavement, and climatic conditions. Furthermore, the accuracy of the deterioration model was measured using R2 = 0.75 and Se/Sy = 0.05 which indicates a good correlation between the observed PCI obtained from distress condition and predicted PCI from the deterioration model. In summary, this model can be effectively used to estimate the residual life in terms of PCI.
Residual Life Estimation for Flexible Pavements Using Serviceability Index
RILEM Bookseries
Ferrara, Liberato (editor) / Muciaccia, Giovanni (editor) / di Summa, Davide (editor) / Kumar, Saurabh (author) / Saha, Gourab (author)
RILEM Spring Convention and Conference ; 2024 ; Milan, Italy
Proceedings of the RILEM Spring Convention and Conference 2024 ; Chapter: 57 ; 510-518
RILEM Bookseries ; 56
2024-11-07
9 pages
Article/Chapter (Book)
Electronic Resource
English
Forecasting Serviceability Loss of Flexible Pavements
| NTIS | 1974
Development of Serviceability Evaluation Index for Flexible Pavements in Pakistan
| British Library Conference Proceedings | 1996
Serviceability ratings of highway pavements
| Engineering Index Backfile | 1963
Restoring serviceability of concrete pavements
| Engineering Index Backfile | 1953