Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite dam
Due to the inhomogeneous of dam materials, effect of the compaction environment and experimental data errors, the soil properties of the Guanyinyan composite dam present obvious spatial variability, resulting in the occurrence of obvious discordant settlements and cracks during the impounding period...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Case Studies in Construction Materials |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509522004612 |
| _version_ | 1817969030397427712 |
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| author | Shichun Chi Wenquan Feng Yufeng Jia Zongliang Zhang |
| author_facet | Shichun Chi Wenquan Feng Yufeng Jia Zongliang Zhang |
| author_sort | Shichun Chi |
| collection | DOAJ |
| description | Due to the inhomogeneous of dam materials, effect of the compaction environment and experimental data errors, the soil properties of the Guanyinyan composite dam present obvious spatial variability, resulting in the occurrence of obvious discordant settlements and cracks during the impounding period. The traditional finite element method (FEM) using inversion parameters that are modified by monitoring displacement back-analysis can neither simulate spatial variability in soil parameters nor predict dam safety before dam displacements occur. In this research, soil parameter random fields are developed considering spatial variability, and a three-dimensional random FEM (RFEM) analysis of the Guanyinyan composite dam is applied. According to soil dry density samples and experimental results, the autocorrelation of the same soil parameter in different positions in dam is determined. The cross-autocorrelation of different soil parameters is conducted using the Nataf transformation. The RFEM analysis shows that the mean values of maximum settlement, the mean values of maximum deformation gradient and area ratio with high hydraulic fracture probability exceeding 0.3 are close to those calculated by inversion parameters. The cumulative frequencies of maximum settlement and maximum deformation gradient show 51% and 33% probabilities of exceeding the inversion calculation results. The area ratio and distribution range of elements with hydraulic failure probabilities greater than 0.2 are significantly larger than those calculated by the inversion parameters. The traditional certain security indexes, which ignore spatial variability of soil parameters, have a certain probability to overestimate the security of the dam. The uncertain security index considering spatial variability of soil parameters can provide a more reasonable and accurate reference for dam safety evaluation before water impounding. |
| first_indexed | 2024-04-13T20:16:11Z |
| format | Article |
| id | doaj.art-3cbc2ea0bfe247ce90a344b51aff1fe4 |
| institution | Directory Open Access Journal |
| issn | 2214-5095 |
| language | English |
| last_indexed | 2024-04-13T20:16:11Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj.art-3cbc2ea0bfe247ce90a344b51aff1fe42022-12-22T02:31:42ZengElsevierCase Studies in Construction Materials2214-50952022-12-0117e01329Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite damShichun Chi0Wenquan Feng1Yufeng Jia2Zongliang Zhang3Institute of Earthquake Engineering, Dalian University of Technology, Dalian 116024, China; State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, ChinaInstitute of Earthquake Engineering, Dalian University of Technology, Dalian 116024, China; State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, ChinaInstitute of Earthquake Engineering, Dalian University of Technology, Dalian 116024, China; State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China; Corresponding author at: Institute of Earthquake Engineering, Dalian University of Technology, Dalian 116024, China.POWERCHINA Kunming Engineering Corporation, Kunming 650000, ChinaDue to the inhomogeneous of dam materials, effect of the compaction environment and experimental data errors, the soil properties of the Guanyinyan composite dam present obvious spatial variability, resulting in the occurrence of obvious discordant settlements and cracks during the impounding period. The traditional finite element method (FEM) using inversion parameters that are modified by monitoring displacement back-analysis can neither simulate spatial variability in soil parameters nor predict dam safety before dam displacements occur. In this research, soil parameter random fields are developed considering spatial variability, and a three-dimensional random FEM (RFEM) analysis of the Guanyinyan composite dam is applied. According to soil dry density samples and experimental results, the autocorrelation of the same soil parameter in different positions in dam is determined. The cross-autocorrelation of different soil parameters is conducted using the Nataf transformation. The RFEM analysis shows that the mean values of maximum settlement, the mean values of maximum deformation gradient and area ratio with high hydraulic fracture probability exceeding 0.3 are close to those calculated by inversion parameters. The cumulative frequencies of maximum settlement and maximum deformation gradient show 51% and 33% probabilities of exceeding the inversion calculation results. The area ratio and distribution range of elements with hydraulic failure probabilities greater than 0.2 are significantly larger than those calculated by the inversion parameters. The traditional certain security indexes, which ignore spatial variability of soil parameters, have a certain probability to overestimate the security of the dam. The uncertain security index considering spatial variability of soil parameters can provide a more reasonable and accurate reference for dam safety evaluation before water impounding.http://www.sciencedirect.com/science/article/pii/S2214509522004612Random field of soil parametersRandom FEMSpatial variability in soil parametersEarth-rockfill dam |
| spellingShingle | Shichun Chi Wenquan Feng Yufeng Jia Zongliang Zhang Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite dam Case Studies in Construction Materials Random field of soil parameters Random FEM Spatial variability in soil parameters Earth-rockfill dam |
| title | Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite dam |
| title_full | Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite dam |
| title_fullStr | Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite dam |
| title_full_unstemmed | Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite dam |
| title_short | Application of the soil parameter random field in the 3D random finite element analysis of Guanyinyan composite dam |
| title_sort | application of the soil parameter random field in the 3d random finite element analysis of guanyinyan composite dam |
| topic | Random field of soil parameters Random FEM Spatial variability in soil parameters Earth-rockfill dam |
| url | http://www.sciencedirect.com/science/article/pii/S2214509522004612 |
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