Open Access
Issue
E3S Web Conf.
Volume 427, 2023
International Conference on Geotechnical Engineering and Energetic-Iraq (ICGEE 2023)
Article Number 03041
Number of page(s) 8
Section Transportation Science and Technology
DOI https://doi.org/10.1051/e3sconf/202342703041
Published online 13 September 2023
  1. Pereira, P., Pais J. Main flexible pavement and mix design methods in Europe and challenges for the development of a European method. Journal of Traffic and transportation engineering (English edition). 2017 Aug 1; 4(4):316–346. [Google Scholar]
  2. Asphalt Institute. Thickness Design--asphalt Pavements for Highways and Streets. Asphalt Inst. 1981. [Google Scholar]
  3. Montuschi, A., Dondi, G., Pettinari A.R.. Flexible pavement design using Mechanistic-Empirical methods: the Californian approach. Doctoral dissertation, MSc thesis, Department of Civil, Chemical, Environmental and Material Engineering, Alma Mater Studiorum University of Bologna. 2012. Available at: https://amslaurea.unibo.it/4914/1/tesi_file_unico.pdf. [Google Scholar]
  4. Karkush M.O., Jabbar A. Improvement of soft soil using linear distributed floating stone columns under foundation subjected to static and cyclic loading. Civil Engineering Journal. 2019 Mar 19;5(3):702–711. [CrossRef] [Google Scholar]
  5. Karkush M.O., Ahmed M.D., Sheikha A.A., Al-Rumaithi A. Thematic maps for the variation of bearing capacity of soil using SPTs and MATLAB. Geosciences. 2020 Aug 20;10(9):329. [CrossRef] [Google Scholar]
  6. Karkush M.O., Yassin S.A. Using sustainable material in improvement the geotechnical properties of soft clayey soil. Journal of Engineering Science and Technology. 2020 Aug;15(4):2208–2222. [Google Scholar]
  7. Jasim A.A.. Effect of Pavement Layers Properties on Optimum Performance by Mechanistic–Empirical Method. Journal of University of Babylon. 2015; 23(2). [Google Scholar]
  8. Huang Y.H.. Pavement analysis and design. Upper Saddle River, NJ: Pearson Prentice Hall. 2004. [Google Scholar]
  9. Kerkhoven R.E., Dormon G.M.. Some considerations on the California bearing ratio method for the design of flexible pavements. Shell Petroleum Company. 1953. [Google Scholar]
  10. Rossow, M. Introduction to geotechnical issues in pavement design, Geotechnical Aspects of Pavements. 1960. [Google Scholar]
  11. Samad, E. Sensitivity analysis in flexible pavement performance using MechanisticEmpirical Method. Civil Engineering Forum. 2011. [Google Scholar]
  12. Highway Design Manual, Ministry of Reconstruction & Housing, State Corporation for Roads & Bridges, Iraq. 2nd edition. 2005. [Google Scholar]
  13. Muniandy, R., Aburkaba, E., Thamer N. Comparison of flexible pavement performance using Kenlayer and Chev PC software program. Australian Journal of Basic and Applied Sciences. 2013; 7(9):112–119. [Google Scholar]
  14. Rind, T. A., Jhatial, A. A., Sandhu, A. R., Bhatti, I. A., and Ahmed, S. Fatigue and rutting analysis of asphaltic pavement using "KENLAYER" Software. Journal of Applied Engineering Sciences. 2019; 9(2): 177– 182. https://doi.org/10.2478/jaes-2019-0024 [CrossRef] [Google Scholar]
  15. Chegenizadeh, A., Keramatikerman, M., Nikraz H. Flexible pavement modelling using Kenlayer. Electronic Journal of Geotechnical Engineering. 2016; 21(7):2467–2479. [Google Scholar]
  16. Nidhi, M., Nagakumar M.S.. Applications of Layered Theory for the Analysis of Flexible Pavements. International Journal of Research in Engineering and Technology. 2013; 2(1):200. [Google Scholar]
  17. Abdelrazek M.A.. Flexible Pavement Components for Optimum Performance in Rutting and Fatigue. Mansura University-Egypt. 2007. [Google Scholar]
  18. Taher B.M., Mohamed R.K., Mahrez A. A review on fatigue and rutting performance of asphalt mixes. Scientific Research and Essays. 2011 Feb 18; 6(4):670–682. [Google Scholar]
  19. Subhy A. Advanced analytical techniques in fatigue and rutting related characterisations of modified bitumen: Literature review. Construction and Building Materials. 2017 Dec 15; 156(1):28–45. [CrossRef] [Google Scholar]
  20. Asim, M., Ahmad, M., Alam, M., Ullah, S., Iqbal M.J., Ali S. Prediction of Rutting in Flexible Pavements using Finite Element Method. Civ. Eng. J. 2021 Aug 1. [Google Scholar]
  21. Rahman M.M., Saha S., Hamdi A.S., Alam M.J.. Development of 3-D finite element models for geo-jute reinforced flexible pavement. Civil Engineering Journal. 2019 Feb 26; 5(2):437–446. [CrossRef] [Google Scholar]
  22. Abed A.H., Al-Azzawi A.A.. Evaluation of rutting depth in flexible pavements by using finite element analysis and local empirical model. American Journal of Engineering and Applied Sciences. 2012 Aug; 5(2):163–169. [CrossRef] [Google Scholar]
  23. Alkaissi Z.A.. Modelling Of Crack Propagation in Flexible Pavement Using X-FEM Method. In IOP Conference Series: Earth and Environmental Science. 2022; 961(1):012014 [CrossRef] [Google Scholar]
  24. Akram H.A., Hilal M.M., Fattah M.Y.. Numerical Simulation of the Effect of Repeated Load and Waste Polypropylene on the Behavior of Asphalt Layers. In IOP Conference Series: Earth and Environmental Science 2022; 961(1): 012039). [CrossRef] [Google Scholar]
  25. Akram H.A., Hilal M.M., Fattah M.Y.. Numerical Investigation of Fatigue Crack in Asphalt Concrete Pavements Using Cohesive Zone Model. In IOP Conference Series: Earth and Environmental Science 2022; 961(1): 12039. [Google Scholar]
  26. Hatem N.S., Hilal M.M., Fattah M.Y.. Finite Element Simulation of Repeated Loading Test of Asphalt Concrete. Engineering and Technology Journal. 2022 May 25; 40(5). [Google Scholar]
  27. Almudhadi T.H.. Some Requirements to Control Reflective Cracking of Overlay Asphalt Pavement. Doctoral dissertation, Ph. D. Thesis, Baghdad University. 2007. [Google Scholar]
  28. Fattah M.Y., Al Helo K.H., Qasim Z.I.. Fatigue cracking performance of local superpave asphalt concrete mixtures. Eng Technol J. 2014 Nov 28; 32(12):2904–2920. [CrossRef] [Google Scholar]
  29. Hu, J., Liu, P., Wang, D., Oeser M. Influence of aggregates' spatial characteristics on air-voids in asphalt mixture. Road Materials and Pavement Design. 2018 May 19; 19(4):837–855. [CrossRef] [Google Scholar]

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