820
Views
24
CrossRef citations to date
0
Altmetric
Original Articles

Investigation and modelling of asphalt pavement performance in cold regions

, ORCID Icon, , , ORCID Icon &
Pages 986-997 | Received 27 Aug 2017, Accepted 27 Aug 2017, Published online: 11 Sep 2017

References

  • AASHTO , 1993. AASHTO guide for design of pavement structures . Washington: AASHTO.
  • Anderson, J.A. , 1995. An introduction to neural networks . Cambridge: MIT Press.
  • Baker, D.G. and Ruschy, D.L. , 1995. Calculated and measured air and soil freeze-thaw frequencies. Journal of Applied Meteorology , 34, 2197–2205.10.1175/1520-0450(1995)034<2197:CAMAAS>2.0.CO;2
  • Bilodeau, J. and Dore, G. , 2013. Flexible pavement design for frost protection taking into account subgrade soils variability. In: Conference and exhibition of the transportation association of Canada-transportation: better-faster-safer , Winnipeg, 1–9.
  • Bishop, C.M. , 1995. Neural networks for pattern recognition . New York: Oxford University Press.
  • Bryce, J. , et al ., 2012. Developing a network-level structural capacity index for asphalt pavements. Journal of Transportation Engineering , 139 (2), 123–129.
  • Choi, J.H. , Adams, T.M. , and Bahia, H.U. , 2004. Pavement roughness modeling using back-propagation neural networks. Computer-Aided Civil and Infrastructure Engineering , 19 (4), 295–303.10.1111/mice.2004.19.issue-4
  • Croney, D. and Croney, P. , 1999. Design and performance of road pavements . New York: McGraw-Hill Book Co.
  • Dosa, M. , 2012. Relative benefit of chip seal application in different climatic conditions based on initial pavement roughness . Tempe: Arizona State University.
  • EL Menshawy, M. , Benharref, A. , and Serhani, M. , 2015. An automatic mobile-health based approach for EEG epileptic seizures detection. Expert Systems with Applications , 42 (20), 7157–7174.10.1016/j.eswa.2015.04.068
  • Heaton, J. , 2015. Artificial intelligence for humans, volume 3: deep learning and neural networks . St. Louis: CreateSpace Independent Publishing Platform.
  • Hershfield, D. , 1974. The frequency of freeze-thaw cycles. Journal of Applied Meteorology , 13, 348–354.10.1175/1520-0450(1974)013<0348:TFOFTC>2.0.CO;2
  • Hershfield, D. , 1978. Freeze-thaw cycles, potholes, and the winter of 1977–78. Journal of Applied Meteorology , 18, 1003–1007.
  • Ho, E. and Gough, W.A. , 2005. Freeze thaw cycles in Toronto, Canada in a changing climate. Theoretical and Applied Climatology , 83 (1–4), 203–210.
  • Jaafar, M. and Fahmi, Z. , 2016. Asphalt pavement roughness modeling using the artificial neural network and linear regression approaches for LTPP southern region. In: Transportation research board 95th annual meeting (No. 16-4191), Washington.
  • Khan, A. , Mrawira, D. , and Hildebrand, E.E. , 2009. Use of lightweight aggregate to mitigate frost damage in flexible pavements. International Journal of Pavement Engineering , 10 (5), 329–339.10.1080/10298430802169473
  • Lee, Y. , et al ., 2007. Application of modern regression techniques and artificial neural networks to pavement prediction modeling. In: 86th Annual meeting of the transportation research board , Washington, 1–15.
  • Lek, S. , et al ., 1996. Application of neural networks to modelling nonlinear relationships in ecology. Ecological Modelling , 90 (1), 39–52.10.1016/0304-3800(95)00142-5
  • MathWorks , 2016. Feature selection [online]. Available from: https://www.mathworks.com/help/stats/feature-selection.html [Accessed 1 Aug 2016].
  • Nii, L. and Mills, O. , 2010. Hierarchical Markov Chain Monte Carlo and pavement roughness mode . Newark: University of Delaware.
  • Nima, K.O. , 2014. Comparison of machine learning techniques for developing performance prediction models. Computing in Civil and Building Engineering , 1254–1261.
  • Olden, J.D. and Jackson, D.A. , 2002. Illuminating the ‘black box’: a randomization approach for understanding variable contributions in artificial neural networks. Ecological Modelling , 154 (1–2), 135–150.10.1016/S0304-3800(02)00064-9
  • Perera, R.W. , 2001. LTPP data analysis: factors affecting pavement smoothness (NCHRP-W40c) . NCHRP Web Document.
  • Qiao, Y. , et al ., 2013. Examining effects of climatic factors on flexible pavement performance and service life. Transportation Research Record: Journal of the Transportation Research Board , 2349, 100–107.10.3141/2349-12
  • Roberts, C.A. and Attoh-Okine, N.O. , 1998. A comparative analysis of two artificial neural networks using pavement performance prediction. Computer-Aided Civil and Infrastructure Engineering , 13, 339–348.10.1111/mice.1998.13.issue-5
  • Schmidlin, T.W. , Dethier, B.E. , and Eggleston, K.L. , 1987. Freeze-thaw days in the northeastern United States. Journal of Climate and Applied Meteorology , 26, 142–155.10.1175/1520-0450(1987)026<0142:FTDITN>2.0.CO;2
  • Shamsabadi, S.S. , et al ., 2014. Deterioration forecasting in flexible pavements due to floods and snow storms. In: Deterioration forecasting in flexible pavements due to floods and snow storms , Nantes.
  • Sheng, L.I. , Yu-zhi, L.I. , and Zhao-hui, L.I.U. , 2013. Research on temperature fatigue damage and cracking in asphalt concrete layer of rigid-flexible composite pavement. Engineering Mechanics , 30 (10), 122–127.
  • Simonsen, E. and Isacsson, U. , 1999. Thaw weakening of pavement structures in cold regions. Cold Regions Science and Technology , 29 (2), 135–151.10.1016/S0165-232X(99)00020-8
  • Smith, J. and Tighe, S. , 2004. Assessment of overlay roughness in long-term pavement performance test sites: Canadian case study. Transportation Research Record: Journal of the Transportation Research Board , 1869, 126–135.10.3141/1869-15
  • Smith, K. , et al ., 1997. Effect of initial pavement smoothness on future smoothness and pavement life. Transportation Research Record: Journal of the Transportation Research Board , 1570, 60–69.10.3141/1570-08
  • Von Quintus, H. , Eltahan, A. , and Yau, A. , 2001. Smoothness models for hot-mix asphalt-surfaced pavements: developed from long-term pavement performance program data. Transportation Research Record: Journal of the Transportation Research Board , 1764, 139–156.10.3141/1764-15
  • Yang, X. , et al ., 2015. Sensitivity of flexible pavement design to Michigan’s climatic inputs using pavement ME design. International Journal of Pavement Engineering , (November), 1–11, 18 (7), 622–632.
  • Ziari, H. , et al ., 2016. Application of support vector machine method in prediction of pavement performance. In: Transportation research board 95th annual meeting, Washington.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.