Back نمذجة أداء الرصف Arabic مۆدێلکردنی کارایی ڕێگە CKB Modelado de desempeño de pavimento Spanish مدل‌سازی کارآیی روسازی Persian Modélisation de la performance de la chaussée French

Pavement performance modeling

Pavement performance models could be developed to predict a single distress such as a crack or the aggregate pavement condition index.
Schematic deterioration of the condition of a road over time
The increase in the IRI of a road in Texas. The blue dots on the curve represent maintenance actions.

Pavement performance modeling or pavement deterioration modeling is the study of pavement deterioration throughout its life-cycle.[1][2] The health of pavement is assessed using different performance indicators. Some of the most well-known performance indicators are Pavement Condition Index (PCI), International Roughness Index (IRI) and Present Serviceability Index (PSI),[3][4] but sometimes a single distress such as rutting or the extent of crack is used.[2][5] Among the most frequently used methods for pavement performance modeling are mechanistic models, mechanistic-empirical models,[6] survival curves and Markov models. Recently, machine learning algorithms have been used for this purpose as well.[3][7] Most studies on pavement performance modeling are based on IRI.[8]

  1. ^ Ford, K., Arman, M., Labi, S., Sinha, K.C., Thompson, P.D., Shirole, A.M., and Li, Z. 2012. NCHRP Report 713 : Estimating life expectancies of highway assets. In Transportation Research Board, National Academy of Sciences, Washington, DC. Transportation Research Board, Washington DC.
  2. ^ a b Piryonesi, Sayed Madeh (November 2019). Piryonesi, S. M. (2019). The Application of Data Analytics to Asset Management: Deterioration and Climate Change Adaptation in Ontario Roads (Doctoral dissertation) (Thesis).
  3. ^ a b Piryonesi, S. M.; El-Diraby, T. E. (2020) [Published online: December 21, 2019]. "Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index". Journal of Infrastructure Systems. 26 (1). doi:10.1061/(ASCE)IS.1943-555X.0000512. S2CID 213782055.
  4. ^ Way, N.C., Beach, P., and Materials, P. 2015. ASTM D 6433–07: Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys.
  5. ^ Ens, A. (2012). Development of a flexible framework for deterioration modelling in infrastructure asset management.
  6. ^ AASHTO. 2008. Mechanistic-empirical pavement design guide: A manual of practice.
  7. ^ "Piryonesi, S. M., & El-Diraby, T. (2018). Using Data Analytics for Cost-Effective Prediction of Road Conditions: Case of The Pavement Condition Index:[summary report] (No. FHWA-HRT-18-065). United States. Federal Highway Administration. Office of Research, Development, and Technology". Archived from the original on 2019-02-02.
  8. ^ Cite error: The named reference :02 was invoked but never defined (see the help page).
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