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| 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) |
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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 
