Sensitivity Analysis of Different Hydrothermal Characteristics in the Variable Thermodynamic Processes of Soft Clay Rock

• Published in: Applied sciences Vol. 14; no. 22; p. 10253
• Main Authors: Wang, Tao, Lin, Huixi, Ren, Kexiong, Gao, Jian, Wang, Di
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 07-11-2024
• Subjects: Anisotropy; Construction; Contamination; Efficiency; Geology; Groundwater; Heat conductivity; Heat transfer; Influence; Moisture content; Permeability; Shear strength; Temperature
• DOI: 10.3390/app142210253
• EISSN: 2076-3417

Artificial ground freezing technology is the most important construction method of complex water-bearing soft clay rock. The thermodynamic properties of soft clay rock are important evidence for the design and construction of space resources development, and the variable hydrothermal parameter can directly affect the uncertain thermodynamic properties of soft clay rock. In this work, an array of field experiments on the soft clay rock are carried out, and the anisotropic spatial variations of hydrothermal parameters of soft clay rock are obtained. The statistical variability characteristics of variable hydrothermal parameters are estimated. A stochastic coupling model of soft clay rock with heat conduction and porous flow is proposed, and the uncertain thermodynamic properties of soft clay rock are computed by the self-compiled program. Model validation with the experimental and numerical temperatures is also presented. According to the relationship between anisotropic spatial variations and statistical variability characteristics for the different random field correlation models, the effects of the autocorrelation function, coefficient of variation, and autocorrelation distance of variable hydrothermal parameters on the uncertain thermodynamic properties of soft clay rock are analyzed. The results show that the proposed stochastic analysis model for the thermal characteristics of soft clay rock, considering the spatial variability of frozen soil layers, is scientifically reasonable. The maximum standard deviation of average thickness is 2.33 m, and the maximum average temperature is 2.25 °C. For the autocorrelation function, the most significant impact comes from DBIN. For the coefficient of variation, the most significant impact comes from thermal conductivity. Different variations of hydrothermal parameters have different effects on the standard deviation of soft clay rock temperature. The biggest influence is the thermal conductivity, while the lowest influence is the specific heat capacity.