A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data
The stability of reservoir bank slopes is critical to the engineering operation’s safety. Due to the complexity of geological conditions, the monitoring mode based on deformation monitoring data cannot directly respond to the structural damage stability state, whereas anther mode based on structural...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.944299/full |
| _version_ | 1828781666269659136 |
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| author | Zhang Han Zhang Han Chen JianKang Chen JianKang Kou Qing Jian Kou Qing Jian Pei Liang Pei Liang Huang Huibao |
| author_facet | Zhang Han Zhang Han Chen JianKang Chen JianKang Kou Qing Jian Kou Qing Jian Pei Liang Pei Liang Huang Huibao |
| author_sort | Zhang Han |
| collection | DOAJ |
| description | The stability of reservoir bank slopes is critical to the engineering operation’s safety. Due to the complexity of geological conditions, the monitoring mode based on deformation monitoring data cannot directly respond to the structural damage stability state, whereas anther mode based on structural calculation is time-consuming and lacks real-time capabilities. To that end, this paper proposes a method for fast prediction of the safety state of reservoir bank rock slope based on the physical significance of time-dependent deformation and rock creep at monitoring points, with the safety coefficient and reliability obtained by numerical calculation as the dependent variables and the slope deformation monitoring sequence as the independent variable, based on full verification of the rationality of numerical calculation. The model can be used to forecast the stability and reliability coefficients of reservoir bank slopes online using deformation data from the field. The application verification of the left bank slope of the Dagangshan arch dam reveals that the average and maximum error of slope stability safety coefficient prediction is within 5% for 90 and 180 days and the average and maximum error of reliability index prediction is within 10%, which meet the engineering requirements and can provide a new way for rapid prediction of slope engineering safety. |
| first_indexed | 2024-12-11T17:36:51Z |
| format | Article |
| id | doaj.art-b42b12212ec14173b37c65d87a7af70c |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-12-11T17:36:51Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-b42b12212ec14173b37c65d87a7af70c2022-12-22T00:56:38ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632022-07-011010.3389/feart.2022.944299944299A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring DataZhang Han0Zhang Han1Chen JianKang2Chen JianKang3Kou Qing Jian4Kou Qing Jian5Pei Liang6Pei Liang7Huang Huibao8State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, ChinaCollege of Water Resources and Hydropower, Sichuan University, Chengdu, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, ChinaCollege of Water Resources and Hydropower, Sichuan University, Chengdu, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, ChinaCollege of Water Resources and Hydropower, Sichuan University, Chengdu, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, ChinaCollege of Water Resources and Hydropower, Sichuan University, Chengdu, ChinaChina Energy Dadu River Hydropower Development Co., Ltd., Chengdu, ChinaThe stability of reservoir bank slopes is critical to the engineering operation’s safety. Due to the complexity of geological conditions, the monitoring mode based on deformation monitoring data cannot directly respond to the structural damage stability state, whereas anther mode based on structural calculation is time-consuming and lacks real-time capabilities. To that end, this paper proposes a method for fast prediction of the safety state of reservoir bank rock slope based on the physical significance of time-dependent deformation and rock creep at monitoring points, with the safety coefficient and reliability obtained by numerical calculation as the dependent variables and the slope deformation monitoring sequence as the independent variable, based on full verification of the rationality of numerical calculation. The model can be used to forecast the stability and reliability coefficients of reservoir bank slopes online using deformation data from the field. The application verification of the left bank slope of the Dagangshan arch dam reveals that the average and maximum error of slope stability safety coefficient prediction is within 5% for 90 and 180 days and the average and maximum error of reliability index prediction is within 10%, which meet the engineering requirements and can provide a new way for rapid prediction of slope engineering safety.https://www.frontiersin.org/articles/10.3389/feart.2022.944299/fullreservoir bank slopedeformation monitoringreliabilityslope warningonline judging |
| spellingShingle | Zhang Han Zhang Han Chen JianKang Chen JianKang Kou Qing Jian Kou Qing Jian Pei Liang Pei Liang Huang Huibao A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data Frontiers in Earth Science reservoir bank slope deformation monitoring reliability slope warning online judging |
| title | A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data |
| title_full | A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data |
| title_fullStr | A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data |
| title_full_unstemmed | A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data |
| title_short | A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data |
| title_sort | fast prediction method for stability safety and reliability of reservoir bank rock slopes based on deformation monitoring data |
| topic | reservoir bank slope deformation monitoring reliability slope warning online judging |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.944299/full |
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