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Geomechanics and Engineering
  Volume 22, Number 4, August25 2020, pages 339-348
DOI: http://dx.doi.org/10.12989/gae.2020.22.4.339
 


Estimation of spatial autocorrelation variations of uncertain geotechnical properties for the frozen ground
Di Wang, Tao Wang, Daqing Xu and Guoqing Zhou

 
Abstract
    The uncertain geotechnical properties of frozen soil are important evidence for the design, operation and maintenance of the frozen ground. The complex geological, environmental and physical effects can lead to the spatial variations of the frozen soil, and the uncertain mechanical properties are the key factors for the uncertain analysis of frozen soil engineering. In this study, the elastic modulus, strength and Poisson ratio of warm frozen soil were measured, and the statistical characteristics under different temperature conditions are obtained. The autocorrelation distance (ACD) and autocorrelation function (ACF) of uncertain mechanical properties are estimated by random field (RF) method. The results show that the mean elastic modulus and mean strength decrease with the increase of temperature while the mean Poisson ratio increases with the increase of temperature. The average values of the ACD for the elastic modulus, strength and Poisson ratio are 0.64m, 0.53m and 0.48m, respectively. The standard deviation of the ACD for the elastic modulus, strength and Poisson ratio are 0.03m, 0.07m and 0.03m, respectively. The ACFs of elastic modulus, strength and Poisson ratio decrease with the increase of ratio of local average distance and scale of fluctuation. The ACF of uncertain mechanical properties is different when the temperature is different. This study can improve our understanding of the spatial autocorrelation variations of uncertain geotechnical properties and provide a basis and reference for the uncertain settlement analysis of frozen soil foundation.
 
Key Words
    frozen soil; spatial variations; uncertain geotechnical properties; autocorrelation distance; autocorrelation function
 
Address
Di Wang, Tao Wang and Guoqing Zhou: State Key Laboratory for Geomechanics and Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China

Daqing Xu: Anhui Transport Consulting & Design Institute Co.,LTD, Hefei, Anhui, 230088, China
 

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