Estimation of Groundwater Seepage Risks into Tunnel Using Radial Basis Function Networks
In this study, Site Groundwater Rating (SGR) in the Amirkabir tunnel has been estimated using Radial Basis Function Networks (RBFNs). SGR is the first rating method that by considering the parameters like joint frequency, joint aperture, schistosity, crashed zones, karstification, soil permeability...
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| Format: | Article |
| Language: | fas |
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Shahid Chamran University of Ahvaz
2022-06-01
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| Series: | علوم و مهندسی آبیاری |
| Subjects: | |
| Online Access: | https://jise.scu.ac.ir/article_17749_6bb5058844a7bbc394c3afdb2270040e.pdf |
| _version_ | 1818017578526703616 |
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| author | Hadi Farhadian Seyed Ahmad Eslaminezhad |
| author_facet | Hadi Farhadian Seyed Ahmad Eslaminezhad |
| author_sort | Hadi Farhadian |
| collection | DOAJ |
| description | In this study, Site Groundwater Rating (SGR) in the Amirkabir tunnel has been estimated using Radial Basis Function Networks (RBFNs). SGR is the first rating method that by considering the parameters like joint frequency, joint aperture, schistosity, crashed zones, karstification, soil permeability coefficient, tunnel location in the water table or piezometric surface, and the amount and intensity of annual raining in the area, classifies the tunnel path from the risk of groundwater seepage point of view. In this article, using an RBFN, an estimation of SGR along the Amirkabir tunnel path was performed. Field data obtained from primary studies in the tunnel was used to train and test the prepared network. For the testing set, modeling results showed that SGR could be predicted with the mean error of 3.57% and 4.76% using radial basis network and exact radial basis network functions, respectively. A High correlation between the SGR of the tunnel path and the network answers, confirmed the prepared RBFN. |
| first_indexed | 2024-04-14T07:28:47Z |
| format | Article |
| id | doaj.art-f0323f1d915e4ec78603d8afe73d06d4 |
| institution | Directory Open Access Journal |
| issn | 2588-5952 2588-5960 |
| language | fas |
| last_indexed | 2024-04-14T07:28:47Z |
| publishDate | 2022-06-01 |
| publisher | Shahid Chamran University of Ahvaz |
| record_format | Article |
| series | علوم و مهندسی آبیاری |
| spelling | doaj.art-f0323f1d915e4ec78603d8afe73d06d42022-12-22T02:05:56ZfasShahid Chamran University of Ahvazعلوم و مهندسی آبیاری2588-59522588-59602022-06-0145210912410.22055/jise.2022.37503.197717749Estimation of Groundwater Seepage Risks into Tunnel Using Radial Basis Function NetworksHadi Farhadian0Seyed Ahmad Eslaminezhad1Department of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.Department of surveying and Geomatics Engineering, College of Engineering, University of Tehran, Tehran, Iran.In this study, Site Groundwater Rating (SGR) in the Amirkabir tunnel has been estimated using Radial Basis Function Networks (RBFNs). SGR is the first rating method that by considering the parameters like joint frequency, joint aperture, schistosity, crashed zones, karstification, soil permeability coefficient, tunnel location in the water table or piezometric surface, and the amount and intensity of annual raining in the area, classifies the tunnel path from the risk of groundwater seepage point of view. In this article, using an RBFN, an estimation of SGR along the Amirkabir tunnel path was performed. Field data obtained from primary studies in the tunnel was used to train and test the prepared network. For the testing set, modeling results showed that SGR could be predicted with the mean error of 3.57% and 4.76% using radial basis network and exact radial basis network functions, respectively. A High correlation between the SGR of the tunnel path and the network answers, confirmed the prepared RBFN.https://jise.scu.ac.ir/article_17749_6bb5058844a7bbc394c3afdb2270040e.pdfsgrradial basis function networksgroundwater seepagetunnel |
| spellingShingle | Hadi Farhadian Seyed Ahmad Eslaminezhad Estimation of Groundwater Seepage Risks into Tunnel Using Radial Basis Function Networks علوم و مهندسی آبیاری sgr radial basis function networks groundwater seepage tunnel |
| title | Estimation of Groundwater Seepage Risks into Tunnel Using Radial Basis Function Networks |
| title_full | Estimation of Groundwater Seepage Risks into Tunnel Using Radial Basis Function Networks |
| title_fullStr | Estimation of Groundwater Seepage Risks into Tunnel Using Radial Basis Function Networks |
| title_full_unstemmed | Estimation of Groundwater Seepage Risks into Tunnel Using Radial Basis Function Networks |
| title_short | Estimation of Groundwater Seepage Risks into Tunnel Using Radial Basis Function Networks |
| title_sort | estimation of groundwater seepage risks into tunnel using radial basis function networks |
| topic | sgr radial basis function networks groundwater seepage tunnel |
| url | https://jise.scu.ac.ir/article_17749_6bb5058844a7bbc394c3afdb2270040e.pdf |
| work_keys_str_mv | AT hadifarhadian estimationofgroundwaterseepagerisksintotunnelusingradialbasisfunctionnetworks AT seyedahmadeslaminezhad estimationofgroundwaterseepagerisksintotunnelusingradialbasisfunctionnetworks |