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A Study of Foam Bitumen Preparation for Effective Recycling of Pavement Layers

Author

Listed:
  • Haiying Cheng

    (Key Laboratory of Road Construction & Equipment of MOE, Chang’an University, Xi’an 710064, China)

  • Zhun Luo

    (School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)

  • Nd Seliverstov

    (College of Mechanical Engineering, The Moscow State Automobile and Road Technical University (MADI), 125319 Moscow, Russia)

Abstract

Foamed asphalt recycling technology can effectively recover waste asphalt pavement materials and achieve the sustainable utilization of resources. This technology’s core equipment is asphalt foaming equipment. Since the asphalt foaming device’s fault data are uncertain, this work proposes a method for evaluating the device’s reliability, combining triangular intuitionistic fuzzy numbers, trapezoidal intuitionistic fuzzy numbers, and expert knowledge. Using the proposed evaluation method, the failure probability of the asphalt foaming device and the importance of the bottom event were calculated. The obtained model results were found to be consistent with the actual collected data, verifying the reliability and validity of the model. Furthermore, the asphalt viscosity is one of the key factors affecting the asphalt foaming recycling technology. In this work, the influence of different viscosities on the asphalt foaming mechanism was investigated using a theoretical analysis. Then, a computational fluid dynamics (CFD) analysis method was employed to simulate the different viscosity asphalt foaming processes, aiming to identify the most suitable one for the production of high-quality foam asphalt in the foaming asphalt viscosity range. Finally, experiments were carried out to verify the results of the analysis. The results show that the asphalt foaming device’s failure probability was around 7.512 × 10 −2 , and the best foaming asphalt viscosity was in the range of 0.3~0.5 Pa·s.

Suggested Citation

  • Haiying Cheng & Zhun Luo & Nd Seliverstov, 2022. "A Study of Foam Bitumen Preparation for Effective Recycling of Pavement Layers," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9375-:d:877015
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    References listed on IDEAS

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    1. Heri Hermansyah & Anggraini Ratih Kumaraningrum & Julwan Hendry Purba & Edison & Masafumi Yohda, 2020. "Safety Analysis Technique for System with Limited Data: Case Study of the Multipurpose Research Reactor in Indonesia," Energies, MDPI, vol. 13(8), pages 1-29, April.
    2. Sushobhan Sen & Jeffery Roesler & Benjamin Ruddell & Ariane Middel, 2019. "Cool Pavement Strategies for Urban Heat Island Mitigation in Suburban Phoenix, Arizona," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
    3. Weiliang Qiao & Yu Liu & Xiaoxue Ma & Yang Liu, 2020. "Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network," Risk Analysis, John Wiley & Sons, vol. 40(5), pages 957-980, May.
    4. Peng Zhang & Guojin Qin & Yihuan Wang, 2019. "Risk Assessment System for Oil and Gas Pipelines Laid in One Ditch Based on Quantitative Risk Analysis," Energies, MDPI, vol. 12(6), pages 1-21, March.
    5. Alejandro Ballesteros-Coll & Koldo Portal-Porras & Unai Fernandez-Gamiz & Ekaitz Zulueta & Jose Manuel Lopez-Guede, 2021. "Rotating Microtab Implementation on a DU91W250 Airfoil Based on the Cell-Set Model," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    6. Huiru Zhao & Nana Li, 2016. "Optimal Siting of Charging Stations for Electric Vehicles Based on Fuzzy Delphi and Hybrid Multi-Criteria Decision Making Approaches from an Extended Sustainability Perspective," Energies, MDPI, vol. 9(4), pages 1-22, April.
    7. Peeters, J.F.W. & Basten, R.J.I. & Tinga, T., 2018. "Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 36-44.
    8. Sujeet Kumar Singh & Shiv Prasad Yadav, 2018. "Intuitionistic fuzzy multi-objective linear programming problem with various membership functions," Annals of Operations Research, Springer, vol. 269(1), pages 693-707, October.
    9. Zongxian Liu & Wenshuai Song & Bo Cui & Xiaoling Wang & Hongling Yu, 2019. "A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers," Energies, MDPI, vol. 12(19), pages 1-30, September.
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