Study on Freeze–Thaw Resistance of Basalt Fiber-Reinforced and Inorganic Curing Agent-Stabilized Shield Tunnel Muck: Fid-Bau Portal

Study on Freeze–Thaw Resistance of Basalt Fiber-Reinforced and Inorganic Curing Agent-Stabilized Shield Tunnel Muck

Yu, Liucheng / Liu, Tao / Zheng, Jianguo / Chen, Jian / Li, Mingyu / Su, Xiuting / Tian, Zhequan

The transportation and disposal of tunnel muck have detrimental environmental impacts. For this reason, the practice of reusing such a resource in engineering materials has substantial environmental and economic benefits. Seasonal frozen regions are extensively distributed worldwide, and freeze–thaw (F-T) cycles can largely degrade the performance of engineering materials, underscoring the importance of knowledge on the F-T resistance of tunnel muck. This study investigates the impact of F-T cycles on the mechanical and microscopic behavior of slurry shield tunnel muck stabilized with basalt fiber (BF) and inorganic curing agent (ICA). The qualities of muck discharged from slurry shield tunneling were improved in the composite formation of fine sand and muddy silty clay. Then tests were conducted to obtain the stress-strain characteristics, uniaxial compressive strength (UCS), and microstructure of the improved tunnel muck with different numbers of F-T cycles ( $N$ ) and BF contents. Based on the Weibull probability distribution function, the damage evolution model of ICA-BF stabilized tunnel muck was proposed. The results show that the UCS decreases parabolically when the F-T cycle increases, and the F-T damage degree is 24.5%–40.6% after 12 cycles. Increasing BF content can effectively improve tunnel muck’s F-T resistance (an optimal ratio of 0.5%). The failure strain of the reinforced tunnel muck is linearly correlated to the BF content and has a weak correlation with the number of F-T cycles. The F-T damage to material strength can be divided into rapid ( $N = 0 - 3$ ), slow ( $N = 3 - 9$ ), and stable ( $N > 9$ ) stages. The established F-T damage model can accurately predict the evolution of the F-T damage degree.