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Heat and Mass Transfer

, Volume 53, Issue 3, pp 1113–1122 | Cite as

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

  • Tao Wang
  • Guoqing Zhou
  • Jianzhou Wang
  • Xiaodong Zhao
  • Xing Chen
Original

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.

Keywords

Soil Property Random Field Large Standard Deviation Stochastic Effect Permafrost Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Tao Wang
    • 1
    • 2
  • Guoqing Zhou
    • 1
  • Jianzhou Wang
    • 1
  • Xiaodong Zhao
    • 1
  • Xing Chen
    • 2
  1. 1.State Key Laboratory for Geomechanics and Deep Underground EngineeringChina University of Mining and TechnologyXuzhouChina
  2. 2.School of Mechanics and Civil EngineeringChina University of Mining and TechnologyXuzhouChina

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