Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis
Monte-Carlo random finite-difference analysis (MCRFDA) can incorporate the spatial variability of soil properties into the analysis of geotechnical structures. However, two factors, namely, the fineness of the generated elements (reflected by the number of elements, Ne) and the number of MC simulati...
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| Format: | Article |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.1041288/full |
| _version_ | 1797960081399087104 |
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| author | Huaichang Yu Huaichang Yu Jialiang Wang Jialiang Wang Li Cao Rui Bai Peng Wang |
| author_facet | Huaichang Yu Huaichang Yu Jialiang Wang Jialiang Wang Li Cao Rui Bai Peng Wang |
| author_sort | Huaichang Yu |
| collection | DOAJ |
| description | Monte-Carlo random finite-difference analysis (MCRFDA) can incorporate the spatial variability of soil properties into the analysis of geotechnical structures. However, two factors, namely, the fineness of the generated elements (reflected by the number of elements, Ne) and the number of MC simulation iterations, NMC, considerably affect the computational efficiency of this method, creating a barrier to its broad use in real-world engineering problems. Hence, an MCRFDA model of a circular underground cavern is developed in this study. The convergent deformation of the cavern is analyzed while considering the spatial variability distribution of the elastic modulus. Moreover, the effects of NMC and Ne on random FD calculations are investigated. The results show the following. An NMC greater than 500 is desirable for the FD analysis of a conventional structure. For a specific structure, Ne does not have a significant impact on the mean of the simulated values but appreciably affects the standard deviation (SD) of the simulated values, where reducing Ne increases the SD of the simulated values. |
| first_indexed | 2024-04-11T00:41:04Z |
| format | Article |
| id | doaj.art-163a664b73da4845bb73953f3bdb7bf1 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-11T00:41:04Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Earth Science |
| spelling | doaj.art-163a664b73da4845bb73953f3bdb7bf12023-01-06T05:25:39ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-01-011010.3389/feart.2022.10412881041288Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysisHuaichang Yu0Huaichang Yu1Jialiang Wang2Jialiang Wang3Li Cao4Rui Bai5Peng Wang6Henan Province Key Laboratory of Rock and Soil Mechanics and Structural Engineering, North China University of Water Resources and Electric Power, Zhengzhou, ChinaCollege of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, ChinaHenan Province Key Laboratory of Rock and Soil Mechanics and Structural Engineering, North China University of Water Resources and Electric Power, Zhengzhou, ChinaCollege of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, ChinaYunnan Dianzhong Water Diversion Engineering Co., Ltd., Kunming, ChinaYunnan Dianzhong Water Diversion Engineering Co., Ltd., Kunming, ChinaYunnan Dianzhong Water Diversion Engineering Co., Ltd., Kunming, ChinaMonte-Carlo random finite-difference analysis (MCRFDA) can incorporate the spatial variability of soil properties into the analysis of geotechnical structures. However, two factors, namely, the fineness of the generated elements (reflected by the number of elements, Ne) and the number of MC simulation iterations, NMC, considerably affect the computational efficiency of this method, creating a barrier to its broad use in real-world engineering problems. Hence, an MCRFDA model of a circular underground cavern is developed in this study. The convergent deformation of the cavern is analyzed while considering the spatial variability distribution of the elastic modulus. Moreover, the effects of NMC and Ne on random FD calculations are investigated. The results show the following. An NMC greater than 500 is desirable for the FD analysis of a conventional structure. For a specific structure, Ne does not have a significant impact on the mean of the simulated values but appreciably affects the standard deviation (SD) of the simulated values, where reducing Ne increases the SD of the simulated values.https://www.frontiersin.org/articles/10.3389/feart.2022.1041288/fullMonte-Carlo random finite-difference analysisrandom fieldelastic moduluscavern deformationmeshing accuracy |
| spellingShingle | Huaichang Yu Huaichang Yu Jialiang Wang Jialiang Wang Li Cao Rui Bai Peng Wang Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis Frontiers in Earth Science Monte-Carlo random finite-difference analysis random field elastic modulus cavern deformation meshing accuracy |
| title | Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis |
| title_full | Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis |
| title_fullStr | Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis |
| title_full_unstemmed | Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis |
| title_short | Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis |
| title_sort | effects of the number of simulation iterations and meshing accuracy in monte carlo random finite difference analysis |
| topic | Monte-Carlo random finite-difference analysis random field elastic modulus cavern deformation meshing accuracy |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.1041288/full |
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