Abstract
Estimating the block size is a major task for the quarry economy. Two approaches such as volumetric joint count and weighted joint density exist in the literature to assess the block size. However, due to the complex nature of discontinuities in the rock masses, this parameter could not be predicted easily everytime. Especially, when working in the rock masses having a wide discontinuity spacing, it is too difficult to perform a scanline survey. In this study, to overcome this difficulty, the photoanalysis method was considered to obtain the data required to construct a predictive model for weighted joint density. Considering the obtained data, a Mamdani fuzzy inference system was construct and its performance was assessed. As a result, a model proposed for predicting the weighted joint density in the present study.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alvarez Grima, M.: Neuro-fuzzy Modeling in Engineering Geology. A.A. Balkema, Rotterdam, p. 244 (2000)
Alvarez Grima, M., Babuska, R.: Fuzzy model for the prediction of unconfined compressive strength of rock samples. International Journal of Rock Mechanics and Mining Science 36, 339–349 (1999)
den Hartog, M.H., Babuska, R., Deketh, H.J.R., Alvarez Grima, M., Verhoef, P.N.W., Verbruggen, H.B.: Knowledge-based fuzzy model for performance prediction of a rock-cutting trencher. International Journal of Approximate Reasoning 16, 43–66 (1996)
Gokceoglu, C.: A fuzzy triangular chart to predict the uniaxial compressive strength of Ankara agglomerates from their petrographic composition. Engineering Geology 66, 39–51 (2002)
Hudson, J.A., Priest, S.D.: Discontinuities and rock mass geometry. International Journal of Rock Mechanics, Mining Science and Geomechanics Abstracts 16, 339–362 (1979)
Nguyen, V.U.: Some fuzzy set applications in mining geomechanics. International Journal of Rock Mechanics and Mining Science 22, 369–379 (1985)
Palmström, A.: Rmi - a rock mass characterization system for rock engineering purposes. PhD thesis, Oslo University, Norway, p. 400 (1995)
Palmström, A.: The Weighted Joint Density Method Leads to Improved Characterization oj Jointing. In: Conference on Recent Advances in Tunnelling Technology, New Delhi, pp. 1–6 (1996)
Priest, S.D.: Discontinuity Analysis for Rock Engineering, p. 473. Chapman & Hall Inc., London (1993)
Sonmez, H., Gokceoglu, C., Ulusay, R.: An application of fuzzy sets to the Geological Strength Index (GSI) System used in rock engineering. Engineering Applications of Artificial Intelligence (2003) (in press)
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nefeslioglu, H.A., Gokceoglu, C., Sonmez, H. (2003). A Mamdani Model to Predict the Weighted Joint Density. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_140
Download citation
DOI: https://doi.org/10.1007/978-3-540-45224-9_140
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40803-1
Online ISBN: 978-3-540-45224-9
eBook Packages: Springer Book Archive