IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7737-d592383.html
   My bibliography  Save this article

Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates

Author

Listed:
  • Amin Soltani

    (School of Engineering, IT and Physical Sciences, Federation University, Churchill, VIC 3842, Australia)

  • Mahdieh Azimi

    (School of Engineering and Technology, Central Queensland University, Melbourne, VIC 3000, Australia)

  • Brendan C. O’Kelly

    (Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland)

Abstract

This study aims at modeling the compaction characteristics of fine-grained soils blended with sand-sized (0.075–4.75 mm) recycled tire-derived aggregates (TDAs). Model development and calibration were performed using a large and diverse database of 100 soil–TDA compaction tests (with the TDA-to-soil dry mass ratio ≤ 30%) assembled from the literature. Following a comprehensive statistical analysis, it is demonstrated that the optimum moisture content (OMC) and maximum dry unit weight (MDUW) for soil–TDA blends (across different soil types, TDA particle sizes and compaction energy levels) can be expressed as universal power functions of the OMC and MDUW of the unamended soil, along with the soil to soil–TDA specific gravity ratio. Employing the Bland–Altman analysis, the 95% upper and lower (water content) agreement limits between the predicted and measured OMC values were, respectively, obtained as +1.09% and −1.23%, both of which can be considered negligible for practical applications. For the MDUW predictions, these limits were calculated as +0.67 and −0.71 kN/m 3 , which (like the OMC) can be deemed acceptable for prediction purposes. Having established the OMC and MDUW of the unamended fine-grained soil, the empirical models proposed in this study offer a practical procedure towards predicting the compaction characteristics of the soil–TDA blends without the hurdles of performing separate laboratory compaction tests, and thus can be employed in practice for preliminary design assessments and/or soil–TDA optimization studies.

Suggested Citation

  • Amin Soltani & Mahdieh Azimi & Brendan C. O’Kelly, 2021. "Modeling the Compaction Characteristics of Fine-Grained Soils Blended with Tire-Derived Aggregates," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7737-:d:592383
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7737/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/14/7737/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. J. S. Yadav & S. K. Tiwari, 2019. "The impact of end-of-life tires on the mechanical properties of fine-grained soil: A Review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(2), pages 485-568, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Castorina S. Vieira, 2022. "Sustainability in Geotechnics through the Use of Environmentally Friendly Materials," Sustainability, MDPI, vol. 14(3), pages 1-7, January.

    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. Luca Fraccascia & Vahid Yazdanpanah & Guido Capelleveen & Devrim Murat Yazan, 2021. "Energy-based industrial symbiosis: a literature review for circular energy transition," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 4791-4825, April.
    2. Zahra Ghasemzadeh & Ahmad Sadeghieh & Davood Shishebori, 2021. "A stochastic multi-objective closed-loop global supply chain concerning waste management: a case study of the tire industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5794-5821, April.
    3. Hongbo Zhang & Zhikun Liu & Jun Wang & Jie Sun & Hongya Yue & Xuefeng Yuan & Xiuguang Song, 2024. "A study of the bearing characteristics of slopes reinforced with waste tire strips based on TDA composite soil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23839-23865, September.

    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:14:p:7737-:d:592383. 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.