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A stochastic optimization approach for the selection of reflective cracking mitigation techniques

Author

Listed:
  • Noori, Mehdi
  • Tatari, Omer
  • Nam, BooHyun
  • Golestani, Behnam
  • Greene, James

Abstract

In Hot Mix Asphalt (HMA) overlays, the existing cracks in the underlying pavements can propagate upward to the new added overlay and may cause Reflective Cracks (RC). These cracks allow water infiltration to the underlying layers and causes further moisture damage as well as weakening the unbound layers. Over the years, several methods have been developed for mitigating the RCs. This study aims to investigate the current reflective cracking mitigation methods and develop a methodology for the selection of appropriate mitigation technique. The developed model is then applied to a case study in the state of Florida.

Suggested Citation

  • Noori, Mehdi & Tatari, Omer & Nam, BooHyun & Golestani, Behnam & Greene, James, 2014. "A stochastic optimization approach for the selection of reflective cracking mitigation techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 367-378.
    • Handle: RePEc:eee:transa:v:69:y:2014:i:c:p:367-378
    DOI: 10.1016/j.tra.2014.09.006
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    References listed on IDEAS

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    1. Steve Bankes, 1993. "Exploratory Modeling for Policy Analysis," Operations Research, INFORMS, vol. 41(3), pages 435-449, June.
    2. Kwakkel, Jan H. & Pruyt, Erik, 2013. "Exploratory Modeling and Analysis, an approach for model-based foresight under deep uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 419-431.
    3. Santero, Nicholas J. & Masanet, Eric & Horvath, Arpad, 2011. "Life-cycle assessment of pavements. Part I: Critical review," Resources, Conservation & Recycling, Elsevier, vol. 55(9), pages 801-809.
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    Citations

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    Cited by:

    1. Zhao, Yang & Noori, Mehdi & Tatari, Omer, 2016. "Vehicle to Grid regulation services of electric delivery trucks: Economic and environmental benefit analysis," Applied Energy, Elsevier, vol. 170(C), pages 161-175.
    2. Ercan, Tolga & Zhao, Yang & Tatari, Omer & Pazour, Jennifer A., 2015. "Optimization of transit bus fleet's life cycle assessment impacts with alternative fuel options," Energy, Elsevier, vol. 93(P1), pages 323-334.
    3. Noori, Mehdi & Gardner, Stephanie & Tatari, Omer, 2015. "Electric vehicle cost, emissions, and water footprint in the United States: Development of a regional optimization model," Energy, Elsevier, vol. 89(C), pages 610-625.
    4. Hao, Han & Wang, Sinan & Liu, Zongwei & Zhao, Fuquan, 2016. "The impact of stepped fuel economy targets on automaker's light-weighting strategy: The China case," Energy, Elsevier, vol. 94(C), pages 755-765.
    5. Noori, Mehdi & Zhao, Yang & Onat, Nuri C. & Gardner, Stephanie & Tatari, Omer, 2016. "Light-duty electric vehicles to improve the integrity of the electricity grid through Vehicle-to-Grid technology: Analysis of regional net revenue and emissions savings," Applied Energy, Elsevier, vol. 168(C), pages 146-158.
    6. Noori, Mehdi & Tatari, Omer, 2016. "Development of an agent-based model for regional market penetration projections of electric vehicles in the United States," Energy, Elsevier, vol. 96(C), pages 215-230.
    7. Jozef Mitterpach & Emília Hroncová & Juraj Ladomerský & Karol Balco, 2015. "Identification of Significant Impact of Silicon Foundry Sands Mining on LCIA," Sustainability, MDPI, vol. 7(12), pages 1-14, December.
    8. Tolga Ercan & Mehdi Noori & Yang Zhao & Omer Tatari, 2016. "On the Front Lines of a Sustainable Transportation Fleet: Applications of Vehicle-to-Grid Technology for Transit and School Buses," Energies, MDPI, vol. 9(4), pages 1-22, March.
    9. Dinçer, Hasan & Yüksel, Serhat, 2019. "An integrated stochastic fuzzy MCDM approach to the balanced scorecard-based service evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 166(C), pages 93-112.

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