Journals / Turkish Journal of Civil Engineering / 2022 / Cilt: 33 - Sayı: 5

Challenges and Benefits of the Use of AASHTOWare for 3 Climatic Regions in Turkey

Pages
12473–12500
Publication Date
2022-09-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results showed that climate, traffic, and reliability parameters extremely affect the performance of the pavement.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The economic growth in developing countries triggers investments in highway networks.
📊
Key Findings & Data:In this study, three different climatic regions for Turkey were analyzed optimizing 162 design combinations.
💡
Conclusion & Impact:Results showed that climate, traffic, and reliability parameters extremely affect the performance of the pavement.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Mechanistic-Empirical design method · AASHTOWare · AASHTO

Abstract

The economic growth in developing countries triggers investments in highway networks. Thus, this requires a re-evaluation of existing design practices, which are mostly empirical. An alternative is the relatively recently developed Mechanistic-Empirical (M-E) design method. It has major data challenges and must be identified before a major switch. In this study, three different climatic regions for Turkey were analyzed optimizing 162 design combinations. Results showed that climate, traffic, and reliability parameters extremely affect the performance of the pavement. As in the current practice of Turkey, climate and material effects are not currently considered; these should be further studied considering the local calibration steps.

Özet

The economic growth in developing countries triggers investments in highway networks. Thus, this requires a re-evaluation of existing design practices, which are mostly empirical. An alternative is the relatively recently developed Mechanistic-Empirical (M-E) design method. It has major data challenges and must be identified before a major switch. In this study, three different climatic regions for Turkey were analyzed optimizing 162 design combinations. Results showed that climate, traffic, and reliability parameters extremely affect the performance of the pavement. As in the current practice of Turkey, climate and material effects are not currently considered; these should be further studied considering the local calibration steps.

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Cite This Article

IPEKYUZ, B., YAMAN, H. T., ÖZTÜRK, H. I. (2022). Challenges and Benefits of the Use of AASHTOWare for 3 Climatic Regions in Turkey. Turkish Journal of Civil Engineering, Cilt: 33 - Sayı: 5, 12473–12500. https://ajindex.com/articles/864094

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References (12)

  1. OECD, Fostering Investment in Infrastructure Lessons learned from OECD Investment Policy Reviews, 2015.
  2. AASHTO, AASHTO Guide for Design of Pavement Structures”, American Association of State Highway and Transportation Officials, Washington, D.C. U.S.A., ISBN-10: 1-56051-055-2, 640 pp, 1993.
  3. NCHRP, Mechanistic-Empirical Design of New and Rehabilitated Pavement Structures, National Cooperative Highway Research Program, NCHRP Project 1-37A Report, National Research Council. Washington, D.C., 2004.
  4. Rahman, M. M., Gassman, S. L., Data collection experience for preliminary calibration of the AASHTO pavement design guide for flexible pavements in South Carolina, International Journal of Pavement Research and Technology, 11(5), 445-457, 2018. https://doi.org/10.1016/j.ijprt.2017.11.009
  5. NCHRP, Recommended Practice for Local Calibration of the M-E Pavement Design Guide, National Cooperative Highway Research Program, ARA Inc. Texas, 2007.
  6. Caliendo, C., Local calibration and implementation of the mechanistic-empirical pavement design guide for flexible pavement design, Journal of Transportation Engineering, 138(3), 348-360, 2011. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000328
  7. Zofka, A., Urbanik, A., Maliszewski, M., Bankowski, W., Sybilski, D., Site specific traffic inputs for mechanistic-empirical pavement design guide in Poland, (No. 14-4534), 2014.
  8. Haponiuk, B., Zbiciak, A., Mechanistic-empirical asphalt pavement design considering the effect of seasonal temperature variations, Archives of Civil Engineering, 62(4), 35-50, 2016. https://doi.org/10.1515/ace-2015-0096
  9. Plescan, E., Plescan, C., Implementation of mechanistic empirical pavement design guide ME-PDG in Romania, Bull. Transilvania Univ. Braşov, 7(56), 323-329, 2014.
  10. Masad, E., Kassem, E., Little, D., Characterization of asphalt pavement materials in the State of Qatar: A case study, Road Materials and Pavement Design, 12(4), 739-765, 2011. https://doi.org/10.1080/14680629.2011.9713893
  11. Sadek, H. A., Masad, E. A., Sirin, O., Al-Khalid, H., Sadeq, M. A., Little, D., Implementation of mechanistic-empirical pavement analysis in the State of Qatar, International Journal of Pavement Engineering, 15(6), 495-511, 2014. https://doi.org/10.1080/10298436.2013.837164
  12. Aguib, A., Flexible pavement design AASHTO 1993 versus mechanistic-empirical pavement design. MSc thesis, The American University in Cairo School of Sciences and Engineering Construction and Architectural Engineering, 2014. Available at: http://dar.auce