Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter
In this study, a probabilistic procedure is presented for determination of the mechanical parameters of rock mass around a tunnel accounting for measurement uncertainties. The formulation of the inverse problem allows the incorporation of both the field measurements and prior information. In the met...
| Main Authors: | , , |
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| Format: | Journal Article |
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Maney Publishing
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/42212 |
| _version_ | 1848756358030032896 |
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| author | Yang, C. Wu, Yong Hong Feng, X. |
| author_facet | Yang, C. Wu, Yong Hong Feng, X. |
| author_sort | Yang, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this study, a probabilistic procedure is presented for determination of the mechanical parameters of rock mass around a tunnel accounting for measurement uncertainties. The formulation of the inverse problem allows the incorporation of both the field measurements and prior information. In the method, a non-linear finite element (FE) method for analysing the direct problems of tunnelling in a jointed rock mass with no-tension elastic–plastic behaviour is coupled with the extended Kalman filter (EKF) to modify the geotechnical parameters in a statistical context. The validity of the back-analysis system was demonstrated through a synthetic example of a deep tunnel in a yielding rock mass. The results show the fast convergence and the great potential of the proposed procedure. |
| first_indexed | 2025-11-14T09:10:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-42212 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:10:55Z |
| publishDate | 2011 |
| publisher | Maney Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-422122017-09-13T16:09:21Z Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter Yang, C. Wu, Yong Hong Feng, X. Uncertainty Tunnelling Extended Kalman filter Back analysis Geotechnical parameter identification In this study, a probabilistic procedure is presented for determination of the mechanical parameters of rock mass around a tunnel accounting for measurement uncertainties. The formulation of the inverse problem allows the incorporation of both the field measurements and prior information. In the method, a non-linear finite element (FE) method for analysing the direct problems of tunnelling in a jointed rock mass with no-tension elastic–plastic behaviour is coupled with the extended Kalman filter (EKF) to modify the geotechnical parameters in a statistical context. The validity of the back-analysis system was demonstrated through a synthetic example of a deep tunnel in a yielding rock mass. The results show the fast convergence and the great potential of the proposed procedure. 2011 Journal Article http://hdl.handle.net/20.500.11937/42212 10.1179/143307511X12858958235513 Maney Publishing restricted |
| spellingShingle | Uncertainty Tunnelling Extended Kalman filter Back analysis Geotechnical parameter identification Yang, C. Wu, Yong Hong Feng, X. Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter |
| title | Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter |
| title_full | Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter |
| title_fullStr | Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter |
| title_full_unstemmed | Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter |
| title_short | Geotechnical parameter identification of no-tension elastic–plastic model using extended Kalman filter |
| title_sort | geotechnical parameter identification of no-tension elastic–plastic model using extended kalman filter |
| topic | Uncertainty Tunnelling Extended Kalman filter Back analysis Geotechnical parameter identification |
| url | http://hdl.handle.net/20.500.11937/42212 |