3-Dimensional Stochastic Seepage Analysis of a Yangtze River Embankment

Three-dimensional stochastic simulation was performed to investigate the complexity of the seepage field of an embankment. Three-dimensional anisotropic heterogeneous steady state random seepage finite element model was developed. The material input data were derived from a statistical analysis of s...

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Main Author: Yajun Wang
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/420264
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spelling doaj-fb4cc5bfd3c244139c611921edf8fa6e2020-11-24T22:35:42ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/4202644202643-Dimensional Stochastic Seepage Analysis of a Yangtze River EmbankmentYajun Wang0School of Maritime and Civil Engineering, Zhejiang Ocean University, Zhoushan 316000, ChinaThree-dimensional stochastic simulation was performed to investigate the complexity of the seepage field of an embankment. Three-dimensional anisotropic heterogeneous steady state random seepage finite element model was developed. The material input data were derived from a statistical analysis of strata soil characteristics and geological columns. The Kolmogorov-Smirnov test was used to validate the hypothesis that the Gaussian probability distribution is applicable to the random permeability tensors. A stochastic boundary condition, the random variation of upstream and downstream water level, was taken into account in the three-dimensional finite element modelling. Furthermore, the functions of sheet-pile breakwater and catchwater were also incorporated as turbulent sources. This case, together with the variability of soil permeability, has been analyzed to investigate their influence on the hydraulic potential distributed and the random evolution of stochastic seepage field. Results from stochastic analyses have also been compared against those of deterministic analyses. The insights gained in this study suggest it is necessary, feasible, and practical to employ stochastic studies in seepage field problems. The method provides a more comprehensive stochastic algorithm than conventional ones to characterize and analyze three-dimensional random seepage field problems.http://dx.doi.org/10.1155/2015/420264
collection DOAJ
language English
format Article
sources DOAJ
author Yajun Wang
spellingShingle Yajun Wang
3-Dimensional Stochastic Seepage Analysis of a Yangtze River Embankment
Mathematical Problems in Engineering
author_facet Yajun Wang
author_sort Yajun Wang
title 3-Dimensional Stochastic Seepage Analysis of a Yangtze River Embankment
title_short 3-Dimensional Stochastic Seepage Analysis of a Yangtze River Embankment
title_full 3-Dimensional Stochastic Seepage Analysis of a Yangtze River Embankment
title_fullStr 3-Dimensional Stochastic Seepage Analysis of a Yangtze River Embankment
title_full_unstemmed 3-Dimensional Stochastic Seepage Analysis of a Yangtze River Embankment
title_sort 3-dimensional stochastic seepage analysis of a yangtze river embankment
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description Three-dimensional stochastic simulation was performed to investigate the complexity of the seepage field of an embankment. Three-dimensional anisotropic heterogeneous steady state random seepage finite element model was developed. The material input data were derived from a statistical analysis of strata soil characteristics and geological columns. The Kolmogorov-Smirnov test was used to validate the hypothesis that the Gaussian probability distribution is applicable to the random permeability tensors. A stochastic boundary condition, the random variation of upstream and downstream water level, was taken into account in the three-dimensional finite element modelling. Furthermore, the functions of sheet-pile breakwater and catchwater were also incorporated as turbulent sources. This case, together with the variability of soil permeability, has been analyzed to investigate their influence on the hydraulic potential distributed and the random evolution of stochastic seepage field. Results from stochastic analyses have also been compared against those of deterministic analyses. The insights gained in this study suggest it is necessary, feasible, and practical to employ stochastic studies in seepage field problems. The method provides a more comprehensive stochastic algorithm than conventional ones to characterize and analyze three-dimensional random seepage field problems.
url http://dx.doi.org/10.1155/2015/420264
work_keys_str_mv AT yajunwang 3dimensionalstochasticseepageanalysisofayangtzeriverembankment
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