메뉴 건너뛰기




Volumn 69, Issue 4, 2010, Pages 599-606

Estimation of strength parameters of rock using artificial neural networks

Author keywords

Artificial neural networks; Rock properties; Strength parameters

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DEFORMATION PROPERTIES; EMPIRICAL RELATIONS; GEOMECHANICAL PROPERTIES; LABORATORY TESTING; POINT LOAD; ROCK PROPERTIES; SLAKE DURABILITY; STRENGTH PARAMETERS; UNIAXIAL COMPRESSIVE STRENGTH; WAVE VELOCITY;

EID: 77957999072     PISSN: 14359529     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10064-010-0301-3     Document Type: Article
Times cited : (88)

References (22)
  • 1
    • 77957998431 scopus 로고    scopus 로고
    • GSI (1999) Shimla Quadrangle, 53E, Himachal Pradesh and Uttar Pradesh.
  • 2
    • 0026800417 scopus 로고
    • ANNs thinking for industry
    • Hubick K (1992) ANNs thinking for industry. Process Control Eng 15(11): 36-38.
    • (1992) Process Control Eng , vol.15 , Issue.11 , pp. 36-38
    • Hubick, K.1
  • 3
    • 84992427324 scopus 로고    scopus 로고
    • Inoue M, Ohomi M (1981) Relation between uniaxial compressive strength and elastic wave velocity of soft rock, In: Akai K, Mayashi M, Nishimatsu Y (eds) Proc of the Int Symp on weak rock, Tokyo, pp 9-13.
  • 4
    • 77957976079 scopus 로고    scopus 로고
    • ISRM (1981) Rock characterization, testing and monitoring, ISRM suggested methods. Int Soc for Rock Mech, 211.
  • 5
    • 77957984566 scopus 로고    scopus 로고
    • Jaksa MB (1995) The influence of spatial variability on the geotechnical design properties of a stiff, over consolidated clay. PhD thesis, The University of Adelaide, Adelaide.
  • 6
    • 33750492296 scopus 로고    scopus 로고
    • Evaluation of blast induced ground vibration predictors
    • Khandelwal M, Singh TN (2007) Evaluation of blast induced ground vibration predictors. Soil Dyn Earthq Eng 27(2): 116-125.
    • (2007) Soil Dyn Earthq Eng , vol.27 , Issue.2 , pp. 116-125
    • Khandelwal, M.1    Singh, T.N.2
  • 8
    • 0026469884 scopus 로고
    • Identifying probable failure modes for underground openings using a neural network
    • Lee C, Sterling R (1992) Identifying probable failure modes for underground openings using a neural network. Int J Rock Mech Min Sci Geomech Abstr 29(1): 4967.
    • (1992) Int J Rock Mech Min Sci Geomech Abstr , vol.29 , Issue.1 , pp. 4967
    • Lee, C.1    Sterling, R.2
  • 9
    • 85059318898 scopus 로고    scopus 로고
    • Lessard JS, Hadjigeorgiou J (1999) Modelling shear behavior of rough joints using neural networks, In: Vouille G, Berest P (eds) 20th century lessons, 21st century challenges. ISBN 9058090698: 925-9.
  • 10
    • 0032997179 scopus 로고    scopus 로고
    • Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness
    • Meulenkamp F, Alvarez GN (1999) Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness. Int J Rock Mech Min Sci 36: 29-39.
    • (1999) Int J Rock Mech Min Sci , vol.36 , pp. 29-39
    • Meulenkamp, F.1    Alvarez, G.N.2
  • 11
    • 0028733796 scopus 로고
    • Investigation of back-propagation artificial neural networks in modelling the stress-strain behaviour of sandstone rock
    • Millar D, Clarici E (1994) Investigation of back-propagation artificial neural networks in modelling the stress-strain behaviour of sandstone rock. IEEE Int Conf Neural Netw 5: 3326-3331.
    • (1994) IEEE Int Conf Neural Netw , vol.5 , pp. 3326-3331
    • Millar, D.1    Clarici, E.2
  • 12
    • 0028112839 scopus 로고    scopus 로고
    • Millar DL, Hudson JA (1994) Performance monitoring of rock eng systems using neural networks. Trans Inst Min Metall Sec A 103: 3-16.
  • 13
    • 0034190448 scopus 로고    scopus 로고
    • Rupture mechanism of Chamoli earthquake of 29th March 1999 and its implications for seismotectonics of Garwal Himalaya
    • Narula PL, Shanker R, Chopra C (2000) Rupture mechanism of Chamoli earthquake of 29th March 1999 and its implications for seismotectonics of Garwal Himalaya. J Geol Soc India 55(5): 493-503.
    • (2000) J Geol Soc India , vol.55 , Issue.5 , pp. 493-503
    • Narula, P.L.1    Shanker, R.2    Chopra, C.3
  • 14
    • 77957998985 scopus 로고    scopus 로고
    • Prediction of strength parameters by dynamic wave
    • Sarkar K, Singh TN, Reddy DV (2009) Prediction of strength parameters by dynamic wave. Int J Earth Sci Eng 2(1): 12-19.
    • (2009) Int J Earth Sci Eng , vol.2 , Issue.1 , pp. 12-19
    • Sarkar, K.1    Singh, T.N.2    Reddy, D.V.3
  • 16
    • 15044359581 scopus 로고    scopus 로고
    • A study of transmission velocity of primary wave (P-Wave) in Coal Measures sandstone
    • Singh TN, Dubey RK (2000) A study of transmission velocity of primary wave (P-Wave) in Coal Measures sandstone. J Sci Ind Res India 59: 482-486.
    • (2000) J Sci Ind Res India , vol.59 , pp. 482-486
    • Singh, T.N.1    Dubey, R.K.2
  • 17
    • 0035251579 scopus 로고    scopus 로고
    • Prediction of strength properties of some schistose rocks
    • Singh VK, Singh D, Singh TN (2001) Prediction of strength properties of some schistose rocks. Int Rock Mech Min Sci 38(2): 269-284.
    • (2001) Int Rock Mech Min Sci , vol.38 , Issue.2 , pp. 269-284
    • Singh, V.K.1    Singh, D.2    Singh, T.N.3
  • 18
    • 1642538202 scopus 로고    scopus 로고
    • Prediction of P-wave velocity and anisotropic properties of rock using Artificial Neural Networks technique
    • Singh TN, Kanchan R, Saigal K, Verma AK (2004) Prediction of P-wave velocity and anisotropic properties of rock using Artificial Neural Networks technique. J Sci Ind Res 63(1): 32-38.
    • (2004) J Sci Ind Res , vol.63 , Issue.1 , pp. 32-38
    • Singh, T.N.1    Kanchan, R.2    Saigal, K.3    Verma, A.K.4
  • 19
    • 33747873778 scopus 로고    scopus 로고
    • A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass
    • Singh TN, Kanchan R, Verma AK, Saigal K (2005) A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass. J Earth Syst Sci 114(1): 75-86.
    • (2005) J Earth Syst Sci , vol.114 , Issue.1 , pp. 75-86
    • Singh, T.N.1    Kanchan, R.2    Verma, A.K.3    Saigal, K.4
  • 20
    • 0035386660 scopus 로고    scopus 로고
    • Application of artificial neural networks to fracture analysis at the A. spo. HRL, Sweden: fracture sets classification
    • Sirat M, Talbot CJ (2001) Application of artificial neural networks to fracture analysis at the A. spo. HRL, Sweden: fracture sets classification. Int J Rock Mech Min Sci 38(5): 62139.
    • (2001) Int J Rock Mech Min Sci , vol.38 , Issue.5 , pp. 62139
    • Sirat, M.1    Talbot, C.J.2
  • 21
    • 43649100157 scopus 로고    scopus 로고
    • Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees
    • Tiryaki B (2008) Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees. Eng Geol 99: 51-60.
    • (2008) Eng Geol , vol.99 , pp. 51-60
    • Tiryaki, B.1
  • 22
    • 56349113372 scopus 로고    scopus 로고
    • Technical note: an example of artificial neural network (ANN) application for indirect estimation of rock parameters
    • Yilmaz I, Yuksek AG (2008) Technical note: an example of artificial neural network (ANN) application for indirect estimation of rock parameters. Rock Mech Rock Eng 41(5): 781-795.
    • (2008) Rock Mech Rock Eng , vol.41 , Issue.5 , pp. 781-795
    • Yilmaz, I.1    Yuksek, A.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.