IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p10582-d641865.html
   My bibliography  Save this article

Identifying the Long-Term Thermal Storage Stability of SBS-Polymer-Modified Asphalt, including Physical Indexes, Rheological Properties, and Micro-Structures Characteristics

Author

Listed:
  • Peng Wang

    (School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Hong-Rui Wei

    (School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Xi-Yin Liu

    (School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Rui-Bo Ren

    (School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Li-Zhi Wang

    (School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China)

Abstract

The thermal storage stability of styrene–butadiene–styrene tri-block copolymer modified bitumen (SBSPMB) is the key to avoid performance attenuation during storage and transportation in pavement engineering. However, existing evaluation index softening point difference within 48 h (Δ SP 48 ) cannot effectively distinguish this attenuation of SBSPMB. Thus, conventional physical indexes, rheological properties, and micro-structure characteristics of SBSPMB during a 10-day storage were investigated in this research. Results showed that during long-term thermal storage under 163 °C for 10 days, penetration, ductility, softening point, recovery rate ( R %), and anti-rutting factor ( G */sin δ ) were decayed with storage time increasing. This outcome was ascribed to the phase separation of SBS, which mainly occurred after a 4-day storage. However, Δ SP 48 after a 6-day storage met the specification requirements (i.e., below 2.5 °C). Thus, the attenuation degree of asphalt performance in field storage was not effectively characterized by Δ SP 48 alone. Results from network strength ( I ) and SBS swelling degree tests revealed that the primary cause was SBS degradation and base asphalt aging. Moreover, conventional indexes, including penetration, ductility, and softening point, were used to build a prediction model for rheological properties after long-term storage using partial least squares regression model, which can effectively predict I, R , J nr , G */sin δ , and SBS amount. Correlation coefficient is above 0.8. G */sin δ and I at the top and bottom storage locations had high coefficient with SBS amount. Thus, phase separation of SBSPMB should be evaluated during thermal storage.

Suggested Citation

  • Peng Wang & Hong-Rui Wei & Xi-Yin Liu & Rui-Bo Ren & Li-Zhi Wang, 2021. "Identifying the Long-Term Thermal Storage Stability of SBS-Polymer-Modified Asphalt, including Physical Indexes, Rheological Properties, and Micro-Structures Characteristics," Sustainability, MDPI, vol. 13(19), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10582-:d:641865
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/10582/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/19/10582/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yiqing Dai & Jiwang Jiang & Xingyu Gu & Yanjing Zhao & Fujian Ni, 2020. "Sustainable Urban Street Comprising Permeable Pavement and Bioretention Facilities: A Practice," Sustainability, MDPI, vol. 12(19), pages 1-14, October.
    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. Yuanyuan Yang & Wenhui Zhang & Zhe Liu & Dengfeng Liu & Qiang Huang & Jun Xia, 2023. "Coupling a Distributed Time Variant Gain Model into a Storm Water Management Model to Simulate Runoffs in a Sponge City," Sustainability, MDPI, vol. 15(4), pages 1-13, February.

    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:13:y:2021:i:19:p:10582-:d:641865. 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.