Multi-parameter collaborative optimization modeling of temperature fields in －50 ℃ cryogenic freezing of Shanghai?s silty clay layer
LI Wenbo1, 2, GAO Wei1, 2, HAN Shengming1, 2, WEN Hanhong2, DING Hang2, HUANG Baolong2, NING Fangbo2
(1. Branch Institute of Mine Construction，China Coal Research Institute，Beijing 100013，China；2. Beijing Coal Mine
Construction Company Ltd.，Beijing 100013，China)
Abstract： In the engineering application of the artificial ground freezing method, the effective establishment of a freezing temperature field is influenced by the synergistic effects of multiple parameters. To investigate the synergistic regulatory mechanisms of cryogenic coolant temperature (ranging from －30 ℃ to －60 ℃), coolant flow rates (1–7 m3/h), and freeze-pipe spacing (0.8–1.2 m) on the evolution of the cryogenic freezing temperature field at －50 ℃, a physical model test system was developed for －50 ℃ cryogenic freezing. A single-factor experimental study was conducted on silty clay strata in Shanghai. The results indicated that as the coolant temperature decreased from －30 ℃ to －50 ℃, the freezing wall closure time was reduced by 26.8%, the time required to achieve an equivalent frozen wall thickness decreased by 55.6%, and the duration to reach the equivalent average interface temperature in the frozen walls was compressed by 71.5%. Under operational conditions with a coolant temperature of －50 ℃ and a flow rate of 5 m3/h, reducing the freezing pipe spacing from 1.2 m to 0.8 m resulted in a significant 58.8% reduction in closure time, a 16.7% increase in the maximum thickness of the main surface frozen wall, and a 33.4% decrease in the average interface temperature. Moreover, the coolant flow rate exhibited a critical threshold at 3 m3/h, beyond which the gain in freezing efficiency remained below 4.8% under cryogenic conditions. These results elucidate the evolution mechanism of the temperature field during －50 ℃ cryogenic freezing. The established quantitative system for parameter sensitivity grading offers theoretical support and serves as a foundation for engineering decision-making regarding the multi-parameter collaborative optimization of the cryogenic freezing process and the rapid construction of high-strength freezing curtains.
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2025, Vol. 44 
