Lateral Deformation Prediction of Deep Foundation Retaining Structures Based on Artificial Neural Network
In order to more accurately predict the lateral deformation of retaining structures caused by foundation pit excavation, this paper adopts support the vector machine model, traditional artificial neural network model, and two kinds of recurrent neural network models considering temporal inputs to es...
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Editorial Office of Journal of Shanghai Jiao Tong University
2024-11-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
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| Online Access: | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-11-1735.shtml |
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| _version_ | 1846142499942301696 |
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| author | XU Changjie, LI Xinyu |
| author_facet | XU Changjie, LI Xinyu |
| author_sort | XU Changjie, LI Xinyu |
| collection | DOAJ |
| description | In order to more accurately predict the lateral deformation of retaining structures caused by foundation pit excavation, this paper adopts support the vector machine model, traditional artificial neural network model, and two kinds of recurrent neural network models considering temporal inputs to establish a prediction model for the maximum lateral deformation of retaining structures in different foundation pits, and for the same foundation pit under different working conditions. The results show that the artificial neural network can update and predict the deformation of the retaining structure in real time based on the measured data of the project, which is helpful for timely planning of the next construction process of the project. In the prediction of lateral deformation of retaining structures under different working conditions, the cyclic neural network model considering temporal inputs is better than the traditional artificial neural network model. |
| format | Article |
| id | doaj-art-a758eacb1b414dc58fbd48cf985f985c |
| institution | Kabale University |
| issn | 1006-2467 |
| language | zho |
| publishDate | 2024-11-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj-art-a758eacb1b414dc58fbd48cf985f985c2024-12-03T09:54:47ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672024-11-0158111735174410.16183/j.cnki.jsjtu.2023.109Lateral Deformation Prediction of Deep Foundation Retaining Structures Based on Artificial Neural NetworkXU Changjie, LI Xinyu01. Research Center of Coastal and Urban Geotechnical Engineering, Zhejiang University, Hangzhou 310058, China;2. Center for Balance Architecture, Zhejiang University, Hangzhou 310028, China;3. Jiangxi Key Laboratory of Infrastructure Safety Control in Geotechnical Engineering, East China Jiaotong University, Nanchang 330013, ChinaIn order to more accurately predict the lateral deformation of retaining structures caused by foundation pit excavation, this paper adopts support the vector machine model, traditional artificial neural network model, and two kinds of recurrent neural network models considering temporal inputs to establish a prediction model for the maximum lateral deformation of retaining structures in different foundation pits, and for the same foundation pit under different working conditions. The results show that the artificial neural network can update and predict the deformation of the retaining structure in real time based on the measured data of the project, which is helpful for timely planning of the next construction process of the project. In the prediction of lateral deformation of retaining structures under different working conditions, the cyclic neural network model considering temporal inputs is better than the traditional artificial neural network model.https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-11-1735.shtmlexcavationdeformation predictionmachine learningretaining structures |
| spellingShingle | XU Changjie, LI Xinyu Lateral Deformation Prediction of Deep Foundation Retaining Structures Based on Artificial Neural Network Shanghai Jiaotong Daxue xuebao excavation deformation prediction machine learning retaining structures |
| title | Lateral Deformation Prediction of Deep Foundation Retaining Structures Based on Artificial Neural Network |
| title_full | Lateral Deformation Prediction of Deep Foundation Retaining Structures Based on Artificial Neural Network |
| title_fullStr | Lateral Deformation Prediction of Deep Foundation Retaining Structures Based on Artificial Neural Network |
| title_full_unstemmed | Lateral Deformation Prediction of Deep Foundation Retaining Structures Based on Artificial Neural Network |
| title_short | Lateral Deformation Prediction of Deep Foundation Retaining Structures Based on Artificial Neural Network |
| title_sort | lateral deformation prediction of deep foundation retaining structures based on artificial neural network |
| topic | excavation deformation prediction machine learning retaining structures |
| url | https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-11-1735.shtml |
| work_keys_str_mv | AT xuchangjielixinyu lateraldeformationpredictionofdeepfoundationretainingstructuresbasedonartificialneuralnetwork |