IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9375-d877015.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9375/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/15/9375/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ievgen Babeshko & Oleg Illiashenko & Vyacheslav Kharchenko & Kostiantyn Leontiev, 2022. "Towards Trustworthy Safety Assessment by Providing Expert and Tool-Based XMECA Techniques," Mathematics, MDPI, vol. 10(13), pages 1-25, June.
    2. Sumati Mahajan & S. K. Gupta, 2021. "On fully intuitionistic fuzzy multiobjective transportation problems using different membership functions," Annals of Operations Research, Springer, vol. 296(1), pages 211-241, January.
    3. Laihao Ma & Xiaoxue Ma & Jingwen Zhang & Qing Yang & Kai Wei, 2021. "Identifying the Weaker Function Links in the Hazardous Chemicals Road Transportation System in China," IJERPH, MDPI, vol. 18(13), pages 1-17, July.
    4. Peng Zhang & Xiangsu Chen & Chaohai Fan, 2020. "Research on a Safety Assessment Method for Leakage in a Heavy Oil Gathering Pipeline," Energies, MDPI, vol. 13(6), pages 1-19, March.
    5. Danijela Tuljak-Suban & Patricija Bajec, 2022. "A Hybrid DEA Approach for the Upgrade of an Existing Bike-Sharing System with Electric Bikes," Energies, MDPI, vol. 15(21), pages 1-23, October.
    6. Zhou, Jing & Liu, Yu & Liang, Decui & Tang, Maochun, 2023. "A new risk analysis approach to seek best production action during new product introduction," International Journal of Production Economics, Elsevier, vol. 262(C).
    7. Chih-Hong Huang & Hsin-Hua Tsai & Hung-chen Chen, 2020. "Influence of Weather Factors on Thermal Comfort in Subtropical Urban Environments," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    8. Erbaş, Mehmet & Kabak, Mehmet & Özceylan, Eren & Çetinkaya, Cihan, 2018. "Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis," Energy, Elsevier, vol. 163(C), pages 1017-1031.
    9. Dianfa Wu & Zhiping Yang & Ningling Wang & Chengzhou Li & Yongping Yang, 2018. "An Integrated Multi-Criteria Decision Making Model and AHP Weighting Uncertainty Analysis for Sustainability Assessment of Coal-Fired Power Units," Sustainability, MDPI, vol. 10(6), pages 1-27, May.
    10. Woo, Hyeon & Son, Yongju & Cho, Jintae & Kim, Sung-Yul & Choi, Sungyun, 2023. "Optimal expansion planning of electric vehicle fast charging stations," Applied Energy, Elsevier, vol. 342(C).
    11. Sanchari Deb & Kari Tammi & Karuna Kalita & Pinakeswar Mahanta, 2018. "Review of recent trends in charging infrastructure planning for electric vehicles," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(6), November.
    12. Silvia Croce & Elisa D’Agnolo & Mauro Caini & Rossana Paparella, 2021. "The Use of Cool Pavements for the Regeneration of Industrial Districts," Sustainability, MDPI, vol. 13(11), pages 1-24, June.
    13. Benjamin Cabanes & Stéphane Hubac & Pascal Le Masson & Benoit Weil, 2021. "Improving reliability engineering in product development based on design theory: the case of FMEA in the semiconductor industry," Post-Print hal-03143866, HAL.
    14. Yunna Wu & Chao Xie & Chuanbo Xu & Fang Li, 2017. "A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing," Energies, MDPI, vol. 10(9), pages 1-25, August.
    15. Paweł Ziemba & Jarosław Wątróbski & Magdalena Zioło & Artur Karczmarczyk, 2017. "Using the PROSA Method in Offshore Wind Farm Location Problems," Energies, MDPI, vol. 10(11), pages 1-20, November.
    16. Zhi-Jiao Du & Zhi-Xiang Chen & Su-Min Yu, 2021. "Improved Failure Mode and Effect Analysis: Implementing Risk Assessment and Conflict Risk Mitigation with Probabilistic Linguistic Information," Mathematics, MDPI, vol. 9(11), pages 1-20, May.
    17. Lan, He & Ma, Xiaoxue & Qiao, Weiliang & Ma, Laihao, 2022. "On the causation of seafarers’ unsafe acts using grounded theory and association rule," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    18. Firoz Ahmad, 2022. "Interactive neutrosophic optimization technique for multiobjective programming problems: an application to pharmaceutical supply chain management," Annals of Operations Research, Springer, vol. 311(2), pages 551-585, April.
    19. Xueliang Li & Bingkang Li & Long Zhao & Huiru Zhao & Wanlei Xue & Sen Guo, 2019. "Forecasting the Short-Term Electric Load Considering the Influence of Air Pollution Prevention and Control Policy via a Hybrid Model," Sustainability, MDPI, vol. 11(10), pages 1-21, May.
    20. Vikas Swarnakar & Amit Raj Singh & Jiju Antony & Raja Jayaraman & Anil Kr Tiwari & Rajeev Rathi & Elizabeth Cudney, 2022. "Prioritizing Indicators for Sustainability Assessment in Manufacturing Process: An Integrated Approach," Sustainability, MDPI, vol. 14(6), pages 1-24, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9375-:d:877015. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.