- Title
- Application of neural network to rock slope stability assessments
- Creator
- Li, A. J.; Khoo, S. Y.; Wang, Y.; Lyamin, A. V.
- Relation
- 8th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2014) . Numerical Methods in Geotechnical Engineering: Proceedings of the 8th European Conference on Numerical Methods in Geotechnical Engineering (Delft, The Netherlands 18-20 June, 2014) p. 473-478
- Publisher Link
- http://dx.doi.org/10.1201/b17017-85
- Publisher
- Taylor & Francis
- Resource Type
- conference paper
- Date
- 2014
- Description
- It is known that rock masses are inhomogeneous, discontinuous media composed of rock material and naturally occurring discontinuities such as joints, fractures and bedding planes. These features make any analysis very difficult using simple theoretical solutions. Generally speaking, back analysis technique can be used to capture some implicit parameters for geotechnical problems. In order to perform back analyses, the procedure of trial and error is generally required. However, it would be time-consuming. This study aims at applying a neural network to do the back analysis for rock slope failures. The neural network tool will be trained by using the solutions of finite element upper and lower bound limit analysis methods. Therefore, the uncertain parameter can be obtained, particularly for rock mass disturbance.
- Subject
- Brown failure criterion; stochastic nonlinear systems; charts; rock slope failures
- Identifier
- http://hdl.handle.net/1959.13/1065393
- Identifier
- uon:17827
- Identifier
- ISBN:9781315751825
- Language
- eng
- Reviewed
- Hits: 3132
- Visitors: 3118
- Downloads: 0
| Thumbnail | File | Description | Size | Format |
|---|