Stochastic model and analysis of uncertain stresses characteristics for embankment in permafrost regions
Stochastic model and analysis of uncertain stresses characteristics for embankment in permafrost regions
复制标题
多年冻土区路堤不确定应力特征随机模型及分析
DOI:
10.1007/s12205-016-1094-0
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发表时间:
2017-07
影响因子:
2.2
通讯作者:
Liu Yuyi
中科院分区:
文献类型:
--
作者:
Wang Tao;Zhou Guoqing;Wang Jianzhou;Zhao Xiaodong;Liu Yuyi
Taking the randomness of mechanical parameters and thermal regime into account, a stochastic analysis model is established for investigating the uncertain stresses characteristics of embankment in permafrost regions. The stochastic finite element formulae are obtained by Neumann Stochastic Finite Element Method (NSFEM), and a stochastic coupling program is compiled by Matrix Laboratory (MATLAB) software. Using our program, the stochastic stresses fields of an embankment in a permafrost region are obtained and analyzed. The results provide a new way to predict the stresses characteristics of the embankment in permafrost regions, and it shows that the stochastic temperature has a different influence on the mean stresses and standard deviation, and the larger value is at a different location. The standard deviations in stresses increase with time when considering the stochastic effect of temperature and parameters, which imply that the results of conventional deterministic analysis may be far from the true value. It can improve our understanding of the stochastic stresses fields of embankments and provide a theoretical basis for engineering reliability analysis and design in permafrost regions.
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DOI:
--
发表时间:
2006
期刊:
Journal of Glaciology and Geocryology
影响因子:
--
作者:
Wang Shuang-jie
通讯作者:
Wang Shuang-jie
影响因子:
2.8
作者:
L. Yuanming;W. Ziwang;Liu Songyu;D. Xuejun
通讯作者:
L. Yuanming;W. Ziwang;Liu Songyu;D. Xuejun
影响因子:
3.7
作者:
J. K. Ord;E. Vanmarcke
通讯作者:
J. K. Ord;E. Vanmarcke
影响因子:
1
作者:
Tao;Wang;Guoqing;Zhou
通讯作者:
Tao;Wang;Guoqing;Zhou
影响因子:
9.8
作者:
Lai Yuanming;Yang Yugui;Li Shuangyang
通讯作者:
Li Shuangyang