Estimating the deformation modulus of rock masses: a comparative study
β Scribed by Kayabasi, A. ;Gokceoglu, C. ;Ercanoglu, M.
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 487 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0148-9062
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β¦ Synopsis
Although the modulus of deformation of rock masses has crucial importance for geotechnical projects, such as tunnels and dams, the determination of this parameter by in situ tests requires considerable costs and involves difficult operational processes. For this reason, empirical equations for the indirect estimation of the modulus of deformation are an interesting issue for rock engineers and engineering geologists. This study includes assessment of the prediction performances of some existing empirical equations, using in situ plate loading test data and rock mass properties, producing an empirical equation depending on the new data, construction of a fuzzy inference system for the estimation of modulus of deformation, and making a comparison between results obtained from the empirical equations and fuzzy inference system. A series of calculations and statistical analyses were undertaken. It is concluded that the performance of the empirical equations and fuzzy inference system obtained in this study is satisfactory. However, the prediction models developed in this study are limited by the number of the data used and the rock types employed. For these reasons, a crosscheck should be performed before using these prediction models for design purposes.
π SIMILAR VOLUMES
Use of indirect estimation methods for some rock mass parameter is considered traditionally in the rock mechanics applications. Generally, the regression based-statistical methods are used to develop an empirical equation. However, new techniques such as artificial neural networks, fuzzy inference s
## Ε½ . Three methods of in situ deformation modulus Em measurements of rock masses have been described, analysed and Ε½ . compared. The plate jacking PJT test, where the deformations are measured by extensometers in drill holes, gives generally the best results. A factor of 2.5 has been found betwee