Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural Network
Dam deformation is a result of the combined action of multiple loads at the same time. Itis a key technology for prediction and diagnosis of deformation by exploring the potential laws anddevelopment trends of displacement monitoring data. However, the existing normal analysis methodssuch as GNSS+ p...
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| Format: | Article |
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Editorial Office of Pearl River
2020-01-01
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| Series: | Renmin Zhujiang |
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| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.06.012 |
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| author | LIN Zhiyan |
| author_facet | LIN Zhiyan |
| author_sort | LIN Zhiyan |
| collection | DOAJ |
| description | Dam deformation is a result of the combined action of multiple loads at the same time. Itis a key technology for prediction and diagnosis of deformation by exploring the potential laws anddevelopment trends of displacement monitoring data. However, the existing normal analysis methodssuch as GNSS+ prism, and automatic monitoring system have large non-linear error. In order torealize the smooth fitting process of non-linear and non-stationary dam deformation data, the BPneural network model for dam deformation prediction is constructed based on the correlationfunction of dam deformation and displacement. Mainly based on the characteristics of waterpressure, temperature, and time-depended factors, the BP prediction model can obtain verticaldisplacement prediction data which can truly show the deformation law and trend of dam body throughself-adaptive learning and training of measured data. The model proposed would provide detailedand accurate data and technical support for safety prediction and analysis of dam deformation. |
| format | Article |
| id | doaj-art-ad5f26b41e074b81904742c13f572ce7 |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-ad5f26b41e074b81904742c13f572ce72025-01-15T02:31:12ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352020-01-014147651701Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural NetworkLIN ZhiyanDam deformation is a result of the combined action of multiple loads at the same time. Itis a key technology for prediction and diagnosis of deformation by exploring the potential laws anddevelopment trends of displacement monitoring data. However, the existing normal analysis methodssuch as GNSS+ prism, and automatic monitoring system have large non-linear error. In order torealize the smooth fitting process of non-linear and non-stationary dam deformation data, the BPneural network model for dam deformation prediction is constructed based on the correlationfunction of dam deformation and displacement. Mainly based on the characteristics of waterpressure, temperature, and time-depended factors, the BP prediction model can obtain verticaldisplacement prediction data which can truly show the deformation law and trend of dam body throughself-adaptive learning and training of measured data. The model proposed would provide detailedand accurate data and technical support for safety prediction and analysis of dam deformation.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.06.012BP neural networkdam deformation predictionvertical displacementtime-dependedfactors |
| spellingShingle | LIN Zhiyan Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural Network Renmin Zhujiang BP neural network dam deformation prediction vertical displacement time-dependedfactors |
| title | Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural Network |
| title_full | Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural Network |
| title_fullStr | Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural Network |
| title_full_unstemmed | Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural Network |
| title_short | Research on Prediction Model of Earth-rockfill Dam Deformation Based on BP Neural Network |
| title_sort | research on prediction model of earth rockfill dam deformation based on bp neural network |
| topic | BP neural network dam deformation prediction vertical displacement time-dependedfactors |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.06.012 |
| work_keys_str_mv | AT linzhiyan researchonpredictionmodelofearthrockfilldamdeformationbasedonbpneuralnetwork |