Improved RMR rock mass classification using artificial intelligence algorithms
Rock mass classification systems such as rock mass rating (RMR) are very reliable means to provide information about the quality of rocks surrounding a structure as well as to propose suitable support systems for unstable regions. Many correlations have been proposed to relate measured quantities su...
| Main Authors: | Gholami, R., Rasouli, Vamegh, Alimoradi, A. |
|---|---|
| Format: | Journal Article |
| Published: |
Springer Wien
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/37199 |
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