Prediction of the blastability designation of rock masses using fuzzy sets

International Journal of Rock Mechanics and Mining Sciences

Volumn 47, Issue 7, 2010, Pages 1126-1140

  Azimi, Y ^a   Osanloo, M ^a   Aakbarpour Shirazi, M ^a   Aghajani Bazzazi, A ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Fuzzy set theory; Mamdani fuzzy inference system; Rock fragmentation; Rock mass blastability

Indexed keywords

BLASTING; FUZZY INFERENCE; FUZZY SETS; ROCK BURSTS; ROCK MECHANICS; ROCKS;

CLASSIFICATION SYSTEM; FUZZY INFERENCE SYSTEMS; FUZZY-SET THEORY; MAMDANI FUZZY INFERENCE SYSTEM; MAMDANI FUZZY INFERENCES; ROCK BLASTING; ROCK FRAGMENTATION; ROCK MASS BLASTABILITY; ROCK-MASS; UNCERTAINTY;

FUZZY SET THEORY;

EID: 77956648674     PISSN: 13651609     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrmms.2010.06.016     Document Type: Article

References (43)

1. Latham J.P., Lu P. Development of an assessment system of blastability for rock masses. Int J Rock Mech Min Sci. 1999, 36:41-55.
2. Da Gama CD. Use of comminution theory to predict fragmentation of jointed rock mass subjected to blasting. In: Proceedings of the first international symposium on rock fragmentation by blasting, Lulea, Sweden, August 1983. p. 563-79.
3. Nguyen V.U. Some fuzzy set applications in mining geomechanics. Int J Rock Mech Min Sci. 1985, 22:369-379.
4. Nguyen VU, Ashworth E. Rock mass classification by fuzzy sets. In: Proceedings of the 26th US symposium on rock mechanics, Rapid City, June 1985. p. 938-945.
5. Cunningham C. The Kuz-Ram model for prediction of fragmentation from blasting. In: Proceedings of the first international symposium on rock fragmentation by blasting, Lulea, Sweden, August 1983. p. 439-53.
6. Cunningham C. Fragmentation estimation and the Kuz-Ram model-four years In: Rock fragmentation by blasting; Proceedings of the second international symposium, Keystone, Colorado, USA, August 1987. p. 475-87.
7. Ghose AK. Design of drilling and blasting subsystems-a rock mass classification approach. In: Proceedings of the symposium on mine planning and equipment selection. Rotterdam: Balkema; 1988. p. 335-40.
8. Kaushik D., Phalguni S. Concept of blastability-an update. Indian Min Eng J 2003, 42:24-31.
9. Fraenkel K. Handbook in rock blasting technique Part-1 1954, Esselte AB, Stockholm.
10. Hino KV. Theory and practice of blasting. Japan: Tokyo Nippon Kayaku Co Ltd.; 1959.
11. Sassa K, Ito I. On the relation between the strength of a rock and the pattern of breakage by blasting. In: Proceedings of the third international congress on rock mechanics, Denver, CO, September 1974. p. 1501-5.
12. Heinen RH, Dimock RR. The use of sonic measurements to determine the blastability of rocks. In: Proceedings of the second conference on explosive and blasting techniques, Luisville, Kentucky, January 1976. p. 234-48.
13. Borquez G.V. Estimation of drilling and blasting cost-an analysis and prediction model. Eng Min J 1981, 182:83-89.
14. Leighton J.C., Brawner C., Stewart D. Development of a correlation between rotary drill performance and controlled blasting powder factors. CIM Bull 1982, 75(844):67-73.
15. Lopez Jimeno, E. 1986. Implantacion de un Metodo de Calculoy Diseno de Voladuras en Banco. PhD Spania, ETS de Ingenieros de Minas de Madrid.
16. Rakishev BR. A new characteristics of the blastability of rock in quarries. Soviet.
17. Lilly P. An empirical method of assessing rock mass blastability. In: Large open pit mines Conference, Newman, Australia, October 1986. p. 89-92.
18. Han J, Weiya X, Shouyi X. Artificial Neural Network Method of Rock mass Blastability Classification. In: Proceedings of the fifth international conference on GeoComputation, London, UK, August 2000. p. 23-5. Available via DIALOG. http://www.geocomputation.org/2000/GC060/Gc060.htm.
19. Aydin A. Fuzzy set approaches to classification of rock masses. Eng Geol 2004, 74:227-245.
20. Ghose A.K., Dutta D. A rock mass classification model for caving roofs. Geotechn Geol Eng 1987, 5:257-271.
21. Den Hartog M.H., Babuska R., Deketh HJR., Grima M.A., Verhoef PNW., Verbruggen H.B. Knowledge-based fuzzy model for performance prediction of a rock-cutting trencher. Int J Approx Reason 1997, 16:43-66.
22. Grima M.A. Verhoef PNW. Forecasting rock trencher performance using fuzzy logic. Int J Rock Mech Min Sci. 1999, 36:413-432.
23. Cebesoy T. Surface mining equipment selection based on multi criteria fuzzy dominant algorithms. In: Proceedings of the 15th mining congress, Ankara, Turkey, May 1997. p. 79-87.
24. Bascetin A. Optimal equipment selection in open-pit mines. PhD thesis, Istanbul Technical University, 1999.
25. Gokceoglu C. A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara agglomerates from their petrographic composition. Eng Geol 2002, 66:39-51.
26. Sonmez H., Gokceoglu C., Ulusay R. An application of fuzzy sets to the Geological Strength Index GSI; system used in rock engineering. Eng Appl Artif Intell 2003, 16:251-269.
27. Deb D., Choi S. Analysis of sinkhole occurrences over abandoned mines using fuzzy reasoning: a case study. Geotechn Geol Eng 2006, 24:1243-1258.
28. Kayabasia A., Gokceoglub C., Ercanoglu M. Estimating the deformation modulus of rock masses: a comparative study. Int J Rock Mech Min Sci 2003, 40:55-63.
29. Iphar M., Goktan R.M. An application of fuzzy sets to the Diggability Index Rating Method for surface mine equipment selection. Int J Rock Mech Min Sci 2006, 43:253-266.
30. Basarir H., Karpuz C., Tutluoglu L. A fuzzy logic based rippability classification system. J S Afr Inst Min Metall 2007, 107:817-831.
31. Khademi Hamidi J., et al. Application of fuzzy set theory to rock engineering classification systems. An illustration of the Rock Mass Excavability Index. Rock Mech Rock Eng 2009, 40:55-63.
32. Monjezi M., et al. Prediction of rock fragmentation due to blastingin Gol-E-Gohar iron mine using fuzzy logic. Int J Rock Mech Min Sci 2009, 46:1273-1280.
33. Bieniawski Z.T. Engineering rock mass classifications 1989, Wiley, New York, 251 pp.
34. Zadeh L.A. Fuzzy sets. IEEE Inf Control 1965, 8:338-353.
35. Jang RJS., Sun C.T., Mizutani E. Neuro-fuzzy and soft computing 1997, Prentice-Hall, Upper Saddle River.
36. Grima M.A. Neuro-fuzzy modelling in engineering geology 2000, Balkema, Rotterdam.
37. Ross T. Fuzzy logic with engineering applications 1995, McGraw-Hill, New York.
38. Sonmez H., Tuncay E., Gokceoglu C. Models to predict the uniaxial compressive strength and the modulus of elasticity for Ankara agglomerate. Int J Rock Mech Min Sci 2004, 41:717-729.
39. Simões MG, Kim T. Fuzzy modeling approaches for the prediction of machine utilization in hard rock tunnel boring machines. In: Proceedings of the Industry Applications Conference 41st IAS Annual Meeting Conference Record of the IEEE, Tampa, FL, USA, October 2006. p. 947-54.
40. Jang RJS., Sun C.T., Mizutani E. Neuro-fuzzy and soft computing 1997, Prentice-Hall, Upper Saddle River, 614 pp.
41. Hudson J.A. Rock systems engineering: theory and practice 1992, Ellis Horwood, Chichester.
42. Hoek E., Brown E.T. Practical estimation of rock mass strength. Int J Rock Mech Min Sci 1994, 34:1165-1186.
43. Azimi Y, Osanloo M, Akbarpour M, Aghajani Bazzazi A. An application of fuzzy sets to the blastability assessment of rock mass. In: Proceedings of the ninth International Symposium on Rock Fragmentation by Blasting, Granada, Spain, September 2009.