IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i7p6117-d1113820.html
   My bibliography  Save this article

Shear, Consolidation Characteristics and Carbon Footprint Analysis of Clayey Soil Blended with Calcium Lignosulphonate and Granite Sand for Earthen Dam Application

Author

Listed:
  • Bonagiri Varsha

    (Department of Civil Engineering, National Institute of Technology Warangal, Warangal 506004, India)

  • Arif Ali Baig Moghal

    (Department of Civil Engineering, National Institute of Technology Warangal, Warangal 506004, India)

  • Ateekh Ur Rehman

    (Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Bhaskar C. S. Chittoori

    (Department of Civil Engineering, Boise State University, Boise, ID 83725, USA)

Abstract

Soil is a composite material of great interest to civil engineers. When the quality of such composite soils is poor, ground improvement techniques must be adopted to withstand the design load of superstructure. Existing soil stabilizers include lime and cement; however, their environmental safety and sustainable use during stabilization have been receiving increasing attention in recent years. This study investigated the use of granite sand (GS) and calcium lignosulphonate (CLS) as sustainable stabilizers that could be blended with clayey soils. The considered dosages of GS were 30%, 40% and 50%, and those of the CLS were 0.25%, 0.5%, 1% and 1.5%. Direct shear and consolidation tests were performed on the GS–CLS blended soil samples that were cured for 7 and 14 days. The amended stabilizers improved the shear parameters and consolidation characteristics at an optimum dosage of 30% GS and 0.5% CLS. Maximum improvements of 84% and 163% were observed in the cohesion and angles of internal friction, respectively. A significant change was also observed in the consolidation characteristics, making them practically applicable. The soil hydraulic conductivity was reduced by 14%, and the coefficient of consolidation increased by 203% for 30% GS and 05% CLS. Carbon footprint analyses were performed on the soil composition that would be best-suited for a typical homogenous earthen dam section. The results showed that the use of GS and CLS together reduced the carbon emissions by 6.57 and 7.7 times, compared to traditional stabilizers, such as cement and lime.

Suggested Citation

  • Bonagiri Varsha & Arif Ali Baig Moghal & Ateekh Ur Rehman & Bhaskar C. S. Chittoori, 2023. "Shear, Consolidation Characteristics and Carbon Footprint Analysis of Clayey Soil Blended with Calcium Lignosulphonate and Granite Sand for Earthen Dam Application," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6117-:d:1113820
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/7/6117/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/7/6117/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ilhan Chang & Minhyeong Lee & Gye-Chun Cho, 2019. "Global CO 2 Emission-Related Geotechnical Engineering Hazards and the Mission for Sustainable Geotechnical Engineering," Energies, MDPI, vol. 12(13), pages 1-21, July.
    2. Pati, Rupesh Kumar & Vrat, Prem & Kumar, Pradeep, 2008. "A goal programming model for paper recycling system," Omega, Elsevier, vol. 36(3), pages 405-417, June.
    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. Zichen Zhang & Cui Li & Kiyoshi Omine & Jiageng Li & Samuel Oye Flemmy, 2023. "Feasibility Study of Low-Environmental-Load Methods for Treating High-Water-Content Waste Dredged Clay (WDC)—A Case Study of WDC Treatment at Kumamoto Prefecture Ohkirihata Reservoir in Japan," Sustainability, MDPI, vol. 15(10), pages 1-14, May.

    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. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
    2. Chung, Sung H. & Weaver, Robert D. & Friesz, Terry L., 2013. "Strategic response to pollution taxes in supply chain networks: Dynamic, spatial, and organizational dimensions," European Journal of Operational Research, Elsevier, vol. 231(2), pages 314-327.
    3. Haji Vahabzadeh, Ali & Asiaei, Arash & Zailani, Suhaiza, 2015. "Reprint of “Green decision-making model in reverse logistics using FUZZY-VIKOR method”," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 334-347.
    4. Xiaomin Zhao & Xueli Bai & Zhihui Fan & Ting Liu, 2020. "Game Analysis and Coordination of a Closed-Loop Supply Chain: Perspective of Components Reuse Strategy," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    5. Xu, Jiuping & Li, Zongmin, 2012. "A review on Ecological Engineering based Engineering Management," Omega, Elsevier, vol. 40(3), pages 368-378.
    6. Olivares-Benitez, Elias & Ríos-Mercado, Roger Z. & González-Velarde, José Luis, 2013. "A metaheuristic algorithm to solve the selection of transportation channels in supply chain design," International Journal of Production Economics, Elsevier, vol. 145(1), pages 161-172.
    7. Zhichao Li & Jilin Huang, 2018. "How to Effectively Improve Pesticide Waste Governance: A Perspective of Reverse Logistics," Sustainability, MDPI, vol. 10(10), pages 1-19, October.
    8. RuiYang Li & Ming He & HongYue He & QiaoYu Deng, 2022. "Heuristic column generation for designing an express circular packaging distribution network," Operational Research, Springer, vol. 22(2), pages 1103-1126, April.
    9. Eskandarpour, Majid & Zegordi, Seyed Hessameddin & Nikbakhsh, Ehsan, 2013. "A parallel variable neighborhood search for the multi-objective sustainable post-sales network design problem," International Journal of Production Economics, Elsevier, vol. 145(1), pages 117-131.
    10. Anil Jindal & Kuldip Singh Sangwan, 2017. "Multi-objective fuzzy mathematical modelling of closed-loop supply chain considering economical and environmental factors," Annals of Operations Research, Springer, vol. 257(1), pages 95-120, October.
    11. Haji Vahabzadeh, Ali & Asiaei, Arash & Zailani, Suhaiza, 2015. "Green decision-making model in reverse logistics using FUZZY-VIKOR method," Resources, Conservation & Recycling, Elsevier, vol. 103(C), pages 125-138.
    12. Claassen, G.D.H., 2014. "Mixed integer (0–1) fractional programming for decision support in paper production industry," Omega, Elsevier, vol. 43(C), pages 21-29.
    13. Harris, Irina & Mumford, Christine L. & Naim, Mohamed M., 2014. "A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 1-22.
    14. Ayvaz, Berk & Bolat, Bersam & Aydın, Nezir, 2015. "Stochastic reverse logistics network design for waste of electrical and electronic equipment," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 391-404.
    15. Vahdani, Behnam & Mohammadi, M., 2015. "A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 67-87.
    16. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    17. Diabat, Ali & Jebali, Aida, 2021. "Multi-product and multi-period closed loop supply chain network design under take-back legislation," International Journal of Production Economics, Elsevier, vol. 231(C).
    18. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    19. Durbach, Ian, 2009. "On the estimation of a satisficing model of choice using stochastic multicriteria acceptability analysis," Omega, Elsevier, vol. 37(3), pages 497-509, June.
    20. Xu, Xiaoping & Zhang, Wei & He, Ping & Xu, Xiaoyan, 2017. "Production and pricing problems in make-to-order supply chain with cap-and-trade regulation," Omega, Elsevier, vol. 66(PB), pages 248-257.

    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:15:y:2023:i:7:p:6117-:d:1113820. 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.