›› 2013, Vol. 34 ›› Issue (8): 2337-2346.
• Numerical Analysis • Previous Articles Next Articles
ZHANG She-rong, WANG Chao, SUN Bo
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Abstract: The unconfined random field may lead to higher variability especially when the variability of dissolution foundation is high, and may lose the geological information and practice experience. So the Bayes constraint random field model is put forward. The constraint random field is built by introducing Bayes formula to modify the distribution characteristics of parameters of dissolution, to reflect the new geological and samples’ location information. Then the effect of the dissolution system in the dam foundation is studied through stochastic finite element method (SFEM). The results show that the space variability of dissolution can be considered more objectively by Bayes constraint random field model rather than the unconfined one; also, the variance of the structural responses can be reduced effectively. In the probability analysis process, the Monte Carlo response surface coupled method (MC-RSM) is recommended for the random simulation of complex engineering, which can reduce the simulation time relative to the direct Monte Carlo method which can only repeat the process of the same mechanical mechanism.
Key words: dissolution dam foundation, stochastic finite element method, Bayes constraint random field, random simulation
CLC Number:
ZHANG She-rong, WANG Chao, SUN Bo. Stochastic simulation and influence analysis of dissolution dam foundation under Bayes constraint random field[J]., 2013, 34(8): 2337-2346.
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http://ytlx.whrsm.ac.cn/EN/Y2013/V34/I8/2337
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