Three-Dimensional Stochastic Seepage Field Analysis of Multimedia Embankment
The soil hydraulic conductivity of an embankment has strong spatial variability due to the spatiotemporal variation, both natural and artificial. The strong randomness of the hydraulic conductivity can be expressed by the coefficient of variation (COV) and the fluctuation scale θ. Moreover, differen...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/1936635 |
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| _version_ | 1850208794957578240 |
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| author | Xiaoming Zhao Shiyu Shang Yuanlin Yang Mingming Hu |
| author_facet | Xiaoming Zhao Shiyu Shang Yuanlin Yang Mingming Hu |
| author_sort | Xiaoming Zhao |
| collection | DOAJ |
| description | The soil hydraulic conductivity of an embankment has strong spatial variability due to the spatiotemporal variation, both natural and artificial. The strong randomness of the hydraulic conductivity can be expressed by the coefficient of variation (COV) and the fluctuation scale θ. Moreover, different coefficients of variation and fluctuation scales correspond to different random field structures. To study the characteristics of the three-dimensional stochastic seepage field in an embankment under different COVs and fluctuation scales, we generate a three-dimensional random field of the hydraulic conductivity of multimedia embankment based on the local average subdivision technique. In particular, a calculation method for a three-dimensional random seepage field based on the Monte Carlo method combined with a three-dimensional multimedia random field and a deterministic analysis is proposed. The results showed that after three thousand realizations and considering the randomness of the hydraulic conductivity, the position of the free surface of each section in the embankment differed. The mean value of the total head decreased when the COV increased. Furthermore, when the COV was small, the change in the total head with anisotropy ratio was not evident, while the COV was large. The mean value of the total head increased with the anisotropy ratio. When the anisotropy ratio increased, the mean value of the standard deviation of the total head increased first and then decreased. |
| format | Article |
| id | doaj-art-9358f6c035ff47c58f37891e5b01e33d |
| institution | OA Journals |
| issn | 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-9358f6c035ff47c58f37891e5b01e33d2025-08-20T02:10:10ZengWileyAdvances in Civil Engineering1687-80942021-01-01202110.1155/2021/1936635Three-Dimensional Stochastic Seepage Field Analysis of Multimedia EmbankmentXiaoming Zhao0Shiyu Shang1Yuanlin Yang2Mingming Hu3School of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringSchool of Civil EngineeringThe soil hydraulic conductivity of an embankment has strong spatial variability due to the spatiotemporal variation, both natural and artificial. The strong randomness of the hydraulic conductivity can be expressed by the coefficient of variation (COV) and the fluctuation scale θ. Moreover, different coefficients of variation and fluctuation scales correspond to different random field structures. To study the characteristics of the three-dimensional stochastic seepage field in an embankment under different COVs and fluctuation scales, we generate a three-dimensional random field of the hydraulic conductivity of multimedia embankment based on the local average subdivision technique. In particular, a calculation method for a three-dimensional random seepage field based on the Monte Carlo method combined with a three-dimensional multimedia random field and a deterministic analysis is proposed. The results showed that after three thousand realizations and considering the randomness of the hydraulic conductivity, the position of the free surface of each section in the embankment differed. The mean value of the total head decreased when the COV increased. Furthermore, when the COV was small, the change in the total head with anisotropy ratio was not evident, while the COV was large. The mean value of the total head increased with the anisotropy ratio. When the anisotropy ratio increased, the mean value of the standard deviation of the total head increased first and then decreased.http://dx.doi.org/10.1155/2021/1936635 |
| spellingShingle | Xiaoming Zhao Shiyu Shang Yuanlin Yang Mingming Hu Three-Dimensional Stochastic Seepage Field Analysis of Multimedia Embankment Advances in Civil Engineering |
| title | Three-Dimensional Stochastic Seepage Field Analysis of Multimedia Embankment |
| title_full | Three-Dimensional Stochastic Seepage Field Analysis of Multimedia Embankment |
| title_fullStr | Three-Dimensional Stochastic Seepage Field Analysis of Multimedia Embankment |
| title_full_unstemmed | Three-Dimensional Stochastic Seepage Field Analysis of Multimedia Embankment |
| title_short | Three-Dimensional Stochastic Seepage Field Analysis of Multimedia Embankment |
| title_sort | three dimensional stochastic seepage field analysis of multimedia embankment |
| url | http://dx.doi.org/10.1155/2021/1936635 |
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