Some non-linear models to predict the weathering degrees of a granitic rock from physical and mechanical parameters

Expert Systems with Applications

Volumn 38, Issue 6, 2011, Pages 7476-7485

  Dagdelenler, Gulseren ^a   Sezer, Ebru Akcapinar ^a   Gokceoglu, Candan ^a  

^a HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Adaptive neuro fuzzy inference system; Artificial neural network; Granite; Non linear multiple regression; Weathering degree

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL NEURAL NETWORK; CIVIL ENGINEERING STRUCTURES; GRANITIC ROCKS; MODEL PERFORMANCE; NON-LINEAR; NON-LINEAR MODEL; NON-LINEAR MULTIPLE REGRESSION; NON-LINEAR REGRESSION; ORNAMENTAL STONE; PAVEMENT MATERIAL; PERFORMANCE INDICES; PHYSICAL AND MECHANICAL PARAMETERS; PREDICTION MODEL; ROCK ENGINEERING; SOFT COMPUTING METHODS; SOFTCOMPUTING TECHNIQUES; WEATHERING DEGREE;

CIVIL ENGINEERING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GRANITE; MATHEMATICAL MODELS; MECHANICAL PROPERTIES; METAL ANALYSIS; MODELS; REGRESSION ANALYSIS; ROCKS; SOFT COMPUTING; SOIL MECHANICS; STAGES;

WEATHERING;

EID: 79951579270     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.076     Document Type: Article

References (58)

1. Anonymous The description and classification of weathered for engineering purposes. Geological society engineering group working, party report Quarterly Journal of Engineering Geology 28 1995 207 242
2. E. Arel, and A. Tugrul Weathering and its relation to geomechanical properties of Cavusbasi granitic rocks in Northwestern Turkey Bulletin of Engineering Geology and the Environment 60 2001 123 133 (Pubitemid 33023821)
3. F. Arikan, R. Ulusay, and N. Aydin Characterization of weathered acidic volcanic rocks and a weathering classification based on a rating system Bulletin of Engineering Geology and the Environment 66 2007 415 430 (Pubitemid 47433942)
4. I.A. Basheer, and M. Hajmeer Artificial neural networks: Fundamentals, computing, design and application Journal of Microbiological Methods 43 2000 3 31
5. A. Begonha, and M.A. Sequeira Braga Weathering of the Oporto granite: Geotechnical and physical properties Catena 49 2002 57 76 (Pubitemid 34800973)
6. S. Ceryan, K. Zorlu, C. Gokceoglu, and A. Temel The use of cation packing index for characterizing the weathering degree of granitic rocks Engineering Geology 98 2008 60 74
7. W.F. Cole, and M.J. Sandy A proposed secondary mineral rating for basalt road aggregate durability Australian Road Research 10 3 1980 27 30
8. J.C. Davis Statistics and data analysis in geology 3rd ed. 2002 John Wiley & Sons (638p.)
9. Demuth, H.; Beale, M.; Hagan, M. (2005). MATLAB Version 7.3.0.267; neural network toolbox for use with Matlab. The Mathworks (348p.).
10. Elmasoglu, G. (2006). Köprüköy (Bala-Ankara) Granitleri iin puanlama esasli malzeme bozunma siniflamalari ve bunlarin karilatirilmasi. MSc thesis, Hacettepe University (76p.) (in Turkish, unpublished).
11. G. Elmasoglu, C. Gokceoglu, and R. Ulusay Köprüköy (Bala-Ankara) granitleri iin puanlama esasli kaya malzemesi bozunma siniflari ve bunlarin karilatirilmasi M. Vardar, Y. Mahmutolu, KAYAMEK2006, 8. Bölgesel Kaya Mekanii Sempozyumu Bildiriler Kitabi 2006 stanbul Teknik Üniversitesi stanbul 83 91 (in Turkish)
12. L. Fu Neural networks in computer intelligence 1995 McGraw-Hill New York
13. C. Gokceoglu, and H. Aksoy New approaches for the characterization of clay-bearing, densely jointed and weak rock masses Engineering Geology 58 1 2000 1 23
14. C. Gokceoglu, H. Sonmez, and K. Zorlu Estimating the uniaxial compressive strength of some clay bearing rocks selected from Turkey by nonlinear multivariable regression and rule-based fuzzy models Expert Systems 26 2 2009 176 190
15. C. Gokceoglu, E. Yesilnacar, H. Sonmez, and A. Kayabasi A neuro-fuzzy model for the deformation modulus of jointed rock masses Computers and Geotechnics 31 5 2004 375 383 (Pubitemid 38921140)
16. C. Gokceoglu, K. Zorlu, S. Ceryan, and H.A. Nefeslioglu A comparative study on indirect determination of degree of weathering of granites from some physical and strength parameters by two soft computing techniques Materials Characterization 60 2009 1317 1327
17. H. Gomez, and T. Kavzoglu Assessment of shallow landslides susceptibility using artificial neural network in Jabonosa, River Basin, Venezuela Engineering Geology 78 2005 11 27 (Pubitemid 40382596)
18. R. Goulin, and L. Yushan Engineering geological zonation of Xiamen granitic weathered crust and bearing capacity of residual soil Sixth international IAEG congress 1990 Balkema Rotterdam 1989 1996
19. A.S. Gupta, and K.S. Rao Weathering indices and their applicability for crystalline rocks Bulletin of Engineering Geology and the Environment 60 2001 201 221 (Pubitemid 33023813)
20. Hamrol, A. (1961). A quantitative classification of the weathering and weatherability of rocks. In Proceedings of the fifth international conference on soil mechanics and foundation engineering, Paris (Vol. 2, pp. 771-774).
21. M.H. Hassoun Fundamentals of artificial neural networks 1995 MIT Press Cambridge, MA
22. Hecht-Nielsen, R. (1987). Kolmogorov's mapping neural network existence theorem. In Proceedings of the first IEEE international conference on neural networks, San Diego, CA, USA (pp. 11-14).
23. Hencher, S. R.; Martin, R. P. (1982). The description and classification of weathered rocks in Hong Kong for engineering purposes. In Proceedings of the seventh southeast Asian geotechnical conference (pp. 125-142). (Pubitemid 14612579)
24. J. Henseler Backpropagation P.J. Braspenning, Artificial neural networks, an introduction to ANN theory and practice. Lecture notes in computer science 1995 Springer Berlin 37 66
25. J. Hertz, A. Krogh, and R.G. Palmer Introduction to the theory of neural computation 1991 Addison-Wesley Reading, MA
26. Hush, D. R. (1989). Classification with neural networks: A performance analysis. In Proceedings of the IEEE international conference on systems engineering, Dayton, OH, USA (pp. 277-280). (Pubitemid 20641818)
27. M. Iphar, M. Yavuz, and H. Ak Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system Environmental Geology 56 2008 97 107
28. T.Y. Irfan Mineralogy, fabric properties and classification of weathered granites in Hong Kong Quarterly Journal of Engineering Geology 29 1996 5 35
29. T.Y. Irfan, and W.R. Dearman The engineering petrography of a weathered granite in Cornwall, England Quarterly Journal of Engineering Geology 11 1978 233 244
30. T.Y. Irfan, and W.R. Dearman Engineering classification and index properties of a weathered granite Bulletin of the International Association of Engineering Geology 32 1978 67 80
31. T.Y. Irfan, and G.E. Powell Engineering geological investigations for foundations on a deeply weathered granitic rock in Hong Kong Bulletin of the International Association 32 1985 67 80 (Pubitemid 16536122)
32. R. ISRM E.T. Brown, SRM suggested methods: Rock characterization, testing and monitoring 1981 Pergamon Press London 211
33. J.S.R. Jang ANFIS: Adaptive network-based fuzzy inference systems IEEE Transactions on Systems, Man and Cybernetics 23 1993 665 685
34. I. Kanellopoulas, and G.G. Wilkinson Strategies and best practice for neural network image classification International Journal of Remote Sensing 18 1997 711 725
35. R. Kilic Geomechanical properties of the ophiolites (Cankiri, Turkey) and alteration degree of diabase Bulletin of the International Association of Engineering Geology 51 1995 63 69 (Pubitemid 26465280)
36. H.X. Lan, R.L. Hu, Z.Q. Yue, C.F. Lee, and S.J. Wang Engineering and geological characteristics of granite weathering profiles in South China Journal of Asian Earth Sciences 21 2003 353 364 (Pubitemid 36211500)
37. Lee, S. G. (1987). Weathering and geotechnical characterization of Korean granites. PhD thesis, Imperial College, University of London.
38. S. Lee, J.H. Ryu, M.J. Lee, and J.S. Won Use of artificial neural network for analysis of the susceptibility to landslides at Boun, Korea Environmental Geology 44 2003 820 833 (Pubitemid 37261481)
39. F. Meulenkamp, and M. Alvarez Grima Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness International Journal of Rock Mechanics and Mining Sciences 36 1 1999 29 39 (Pubitemid 29276134)
40. MTA (2002). 1/500 000 Olcekli Turkiye Jeoloji Haritasi, Ankara paftasi, MTA Genel Mudurlugu, Ankara (in Turkish).
41. H.A. Nefeslioglu, C. Gokceoglu, and H. Sonmez An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps Engineering Geology 97 3-4 2008 171 191
42. M. Negnevitsky Artificial intelligence: A guide to intelligent systems 2002 Addison-Wesley England
43. K.M. Neupane, and S.H. Achet Use of back propagation neural network for landslides monitoring; a case study in the higher Himalaya Engineering Geology 74 2004 213 236
44. Onodera, T. F. N.; Yoshinaka, R.; Oda, M. (1974). Weathering and its relation to mechanical properties of granite. In Proceedings of the third congress on international society of rock mechanics, Denver (Vol. 2A, pp. 71-78).
45. J.K. Raj Characterization of weathering profile developed over a porphyritic biotite granite in Peninsula Malaysia Bulletin of the International Association of Engineering Geology 232 1985 121 130
46. V.K. Singh, D. Singh, and T.N. Singh Prediction of strength properties of some schistose rocks from petrographic properties using artificial neural networks International Journal of Rock Mechanics and Mining Sciences 38 2 2001 269 284 (Pubitemid 32218026)
47. T.N. Singh, S. Sinha, and V.K. Singh Prediction of thermal conductivity of rock through physico-mechanical properties Building and Environment 42 1 2007 146 155 (Pubitemid 44426596)
48. H. Sonmez, C. Gokceoglu, H.A. Nefeslioglu, and A. Kayabasi Estimation of rock modulus: For intact rocks with an artificial neural network and for rock masses with a new empirical equation International Journal of Rock Mechanics and Mining Sciences 43 2 2006 224 235 (Pubitemid 43055524)
49. L.M.O. Sousa, L.M. Suarez del Río, L. Lope Calleja, G. Vicente, V.G.R. Ruiz e Argandofia, and A.R. Rey Influence of microfractures and porosity on the physico-mechanical properties and weathering of ornamental granites Engineering Geology 77 2005 153 168 (Pubitemid 40106493)
50. SPSS Inc. (2007). SPSS regression models (version 11.5). < http://www.spss.com >.
51. Tugrul, A. (1995). Weathering effects of engineering properties of Basalt's in Niksar Area. Ph.D. thesis, Istanbul University, Turkey (in Turkish).
52. R. Ulusay, C. Gokceoglu, and S. Sulukcu Draft ISRM suggested method for determining block punch strength index (BPI) International Journal of Rock Mechanics and Mining Sciences 38 8 2001 1113 1119 (Pubitemid 34497446)
53. B.J. Wyhthoff Backpropagation neural networks: A tutorial Chemometrics and Intelligent Laboratory Systems 18 1993 115 155
54. Yagiz, S.; Gokceoglu, C. (in press). Application of fuzzy inference and non-linear regression methods for predicting rock brittleness. Expert Systems with Applications. doi:10.1016/j.eswa.2009.07.046.
55. Yagiz, S.; Sezer, E.; Gokceoglu, C. (2010). Comparison of two non-linear prediction techniques for estimation of some intact rock parameters. EGU General Assembly 2010, Wien, Austria. (Abstract No. EGU2010-90).
56. S. Yagiz, C. Gokceoglu, E. Sezer, and S. Iplikci Application of two non-linear prediction tools to the estimation of tunnel boring machine performance Engineering Applications of Artificial Intelligence 22 2009 808 814
57. I. Yilmaz, and G. Yuksek Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models International Journal of Rock Mechanics and Mining Sciences 46 2009 803 810
58. K. Zorlu, C. Gokceoglu, F. Ocakoglu, H.A. Nefeslioglu, and S. Acikalin Prediction of uniaxial compressive strength of sandstones using petrography-based models Engineering Geology 96 2008 141 158