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Experimental Study on the Durability Performance of Sustainable Mortar with Partial Replacement of Natural Aggregates by Fiber-Reinforced Agricultural Waste Walnut Shells

Author

Listed:
  • Shiwei Peng

    (College of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

  • Kaixin Qiu

    (College of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

  • Bowei Yang

    (College of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

  • Jifeng Ai

    (College of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

  • An Zhou

    (College of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

Abstract

Through the recovery and reuse of agricultural waste, the extraction and consumption of natural aggregates can be reduced to realize the sustainable development of the construction industry. Therefore, this paper utilizes the inexpensive, surplus, clean, and environmentally friendly waste agricultural material walnut shell to partially replace the fine aggregates in mortar to prepare environmentally friendly mortar. Considering the decrease in mortar performance after mixing walnut shells, basalt fibers of different lengths (3 mm, 6 mm, and 9 mm) and different dosages (0.1%, 0.2%, and 0.3%) were mixed in the mortar. The reinforcing effect of basalt fibers on walnut shell mortar was investigated by mechanical property tests, impact resistance tests, and freeze–thaw cycle tests. The damage prediction model was established based on the Weibull model and gray model (GM (1,1) model), and the model accuracy was analyzed. The experimental results showed that after adding basalt fibers, the compressive strength, split tensile strength, and flexural strength of the specimens with a length of 6 mm and a doping amount of 0.2% increased by 13.98%, 48.15%, and 43.75%, respectively, and the fibers effectively improved the defects inside the walnut shell mortar. The R²s in the Weibull model were greater than 87.38%, and the average relative error between the predicted life of the impacts and the measured values was greater than 87.38%. The average relative errors in the GM (1,1) model ranged from 0.81% to 2.19%, and the accuracy analyses were all of the first order.

Suggested Citation

  • Shiwei Peng & Kaixin Qiu & Bowei Yang & Jifeng Ai & An Zhou, 2024. "Experimental Study on the Durability Performance of Sustainable Mortar with Partial Replacement of Natural Aggregates by Fiber-Reinforced Agricultural Waste Walnut Shells," Sustainability, MDPI, vol. 16(2), pages 1-30, January.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:824-:d:1321345
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    References listed on IDEAS

    as
    1. Xiaohua Song & Wen Zhang & Zeqi Ge & Siqi Huang & Yamin Huang & Sijia Xiong, 2022. "A Study of the Influencing Factors on the Carbon Emission Trading Price in China Based on the Improved Gray Relational Analysis Model," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    2. Guobao Luo & Jian Zhang & Zhenhua Zhao & Mingzhi Sun, 2023. "Fatigue Property Evaluation of Sustainable Porous Concrete Modified by Recycled Ground Tire Rubber/Silica Fume under Freeze-Thaw Cycles," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    3. Jian Meng & Ziling Xu & Zeli Liu & Song Chen & Chen Wang & Ben Zhao & An Zhou, 2022. "Experimental Study on the Mechanics and Impact Resistance of Multiphase Lightweight Aggregate Concrete," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
    4. Chaojun Ding & Tianshou Liu, 2023. "Risk Decision for a Port Shore Power Supply System Based on Cumulative Prospect Theory and an Improved Gray Target," Sustainability, MDPI, vol. 15(19), pages 1-16, September.
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