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Estimation on the influence of uncertain parameters on stochastic thermal regime of embankment in permafrost regions

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Abstract

For embankments in permafrost regions, the soil properties and the upper boundary conditions are stochastic because of complex geological processes and changeable atmospheric environment. These stochastic parameters lead to the fact that conventional deterministic temperature field of embankment become stochastic. In order to estimate the influence of stochastic parameters on random temperature field for embankment in permafrost regions, a series of simulated tests are conducted in this study. We consider the soil properties as random fields and the upper boundary conditions as stochastic processes. Taking the variability of each stochastic parameter into account individually or concurrently, the corresponding random temperature fields are investigated by Neumann stochastic finite element method. The results show that both of the standard deviation under the embankment and the boundary increase with time when considering the stochastic effect of soil properties and boundary conditions. Stochastic boundary conditions and soil properties play a different role in random temperature field of embankment at different times. Each stochastic parameter has a different effect on random temperature field. These results can improve our understanding of the influence of stochastic parameters on random temperature field for embankment in permafrost regions.

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Acknowledgments

This research was supported by the Major State Basic Research Development Program (Grant No. 2012CB026103), the China Postdoctoral Science Foundation funded project (Grant No. 2016M591958), the National Natural Science Foundation of China (Grant No. 41271096) and the 111 Project (Grant No. B14021). We express our sincere thanks to the two reviewers for their valuable comments and suggestions on the content of the paper.

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Authors and Affiliations

  1. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China

    Tao Wang, Guoqing Zhou, Jianzhou Wang & Xiaodong Zhao

  2. School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China

    Tao Wang & Xing Chen

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  1. Tao Wang
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  2. Guoqing Zhou
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  3. Jianzhou Wang
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  4. Xiaodong Zhao
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  5. Xing Chen
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Correspondence to Tao Wang.

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Wang, T., Zhou, G., Wang, J. et al. Estimation on the influence of uncertain parameters on stochastic thermal regime of embankment in permafrost regions. Heat Mass Transfer 53, 1113–1122 (2017). https://doi.org/10.1007/s00231-016-1883-5

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  • DOI: https://doi.org/10.1007/s00231-016-1883-5

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