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

被引:0
作者
Peng, Shiwei [1 ]
Qiu, Kaixin [1 ]
Yang, Bowei [1 ]
Ai, Jifeng [1 ]
Zhou, An [1 ]
机构
[1] Hubei Univ Technol, Coll Civil Engn Architecture & Environm, Wuhan 430068, Peoples R China
关键词
walnut shells; basalt fibers; drop hammer impact; freeze-thaw cycle; BASALT-FIBER; MECHANICAL-PROPERTIES; RECYCLED AGGREGATE; COARSE AGGREGATE; CONCRETE; CEMENT; BEHAVIOR; ASH; DAMAGE;
D O I
10.3390/su16020824
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 R(2)s 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.
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页数:30
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