Rock mass characterization by fractal dimension

Bagde, M.N.; Raina, A.K.; Chakraborty, A.K.; Jethwa, J.L.

doi:10.1016/s0013-7952(01)00078-3

Cited by 94 publications

(36 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers found that the distribution of pores in porous matrix show fractal properties (Yu and Cheng 2002;Yu et al 2005Yu et al , 2009Cai et al 2010;Miao et al 2014), and other researchers verified that the fracture distribution in fractured rock masses also exhibits fractal characteristics at both the macro-structural (i.e., geometry of fracture networks; Berkowitz and Hadad 1997;Babadagli 2001;Bagde et al 2002;Jiang et al 2006a;Kruhl 2013;Miao et al 2015a) and micro-structural (i.e., geometry of single fractures; Odling 1994; Kulatilake et al 1995;Babadagli and Develi 2003;Jiang et al 2006b;Askari and Ahmadi 2007;Li Y and Huang 2015;Babadagli et al 2015) levels.…”

Section: Permeability and Fracture-length Distributionmentioning

confidence: 94%

Review: Mathematical expressions for estimating equivalent permeability of rock fracture networks

et al. 2016

View full text Add to dashboard Cite

Fracture networks play a more significant role in conducting fluid flow and solute transport in fractured rock masses, comparing with that of the rock matrix. Accurate estimation of the permeability of fracture networks would help researchers and engineers better assess the performance of projects associated with fluid flow in fractured rock masses. This study provides a review of previous works that have focused on the estimation of equivalent permeability of twodimensional (2-D) discrete fracture networks (DFNs) considering the influences of geometric properties of fractured rock masses. Mathematical expressions for the effects of nine important parameters that significantly impact on the equivalent permeability of DFNs are summarized, including (1) fracturelength distribution, (2) aperture distribution, (3) fracture surface roughness, (4) fracture dead-end, (5) number of intersections, (6) hydraulic gradient, (7) boundary stress, (8) anisotropy, and (9) scale. Recent developments of 3-D fracture networks are briefly reviewed to underline the importance of utilizing 3-D models in future research.

show abstract

Section: Permeability and Fracture-length Distributionmentioning

confidence: 94%

Review: Mathematical expressions for estimating equivalent permeability of rock fracture networks

et al. 2016

View full text Add to dashboard Cite

show abstract

“…25-30 digital images were obtained before and during the entire excavation history of each blasted muck-pile to measure the fragmentation distribution. Scaled images were processed and analysed using image analysis software Fragalyst TM 4.0 [7][8][9]. The software has an accuracy of ±10 %.…”

Section: Parameter Measurement Techniquesmentioning

confidence: 99%

Assessment of Blasting Performance Using Electronic Vis-à-Vis Shock Tube Detonators in Strong Garnet Biotite Sillimanite Gneiss Formations

Sharma

Rai

2015

J. Inst. Eng. India Ser. D

View full text Add to dashboard Cite

This paper presents a comparative investigation of the shock tube and electronic detonating systems practised in bench blasting. The blast trials were conducted on overburden rocks of Garnet Biotite Sillimanite Gneiss formations in one of the largest metalliferous mine of India. The study revealed that the choice of detonating system was crucial in deciding the fragment size and its distribution within the blasted muck-piles. The fragment size and its distribution affected the digging rate of excavators. Also, the shape of the blasted muck-pile was found to be related to the degree of fragmentation. From the present work, it may be inferred that in electronic detonation system, timely release of explosive energy resulted in better overall blasting performance. Hence, the precision in delay time must be considered in designing blast rounds in such overburden rock formations. State-ofart image analysis, GPS based muck-pile profile plotting techniques were rigorously used in the investigation. The study revealed that a mean fragment size (K 50 ) value for shock tube detonated blasts (0.55-0.59 m) was higher than that of electronically detonated blasts (0.43-0.45 m). The digging rate of designated shovels (34 m 3 ) with electronically detonated blasts was consistently more than 5000 t/h, which was almost 13 % higher in comparison to shock tube detonated blasts. Furthermore, favourable muck-pile shapes were witnessed in electronically detonated blasts from the observations made on the dozer performance.

show abstract

“…Therefore in order to classify the rock surface we measure all samples by means of the same device and using the same conditions. Descriptions of researches on self-affine problem may be found in [27][28][29][30][31].…”

Section: Local Differences In Height and Local Inclinationsmentioning

confidence: 99%

Description and classification of rock surfaces by means of laser profilometry and mathematical morphology

Młynarczuk

2010

International Journal of Rock Mechanics and Mining Sciences

View full text Add to dashboard Cite

Rock mass characterization by fractal dimension

Cited by 94 publications

References 11 publications

Review: Mathematical expressions for estimating equivalent permeability of rock fracture networks

Review: Mathematical expressions for estimating equivalent permeability of rock fracture networks

Assessment of Blasting Performance Using Electronic Vis-à-Vis Shock Tube Detonators in Strong Garnet Biotite Sillimanite Gneiss Formations

Description and classification of rock surfaces by means of laser profilometry and mathematical morphology

Contact Info

Product

Resources

About