scholarly journals APPLICATION OF RQD-NUMBER AND RQD-VOLUME MULTIFRACTAL MODELLING TO DELINEATE ROCK MASS CHARACTERISATION IN KAHANG Cu-Mo PORPHYRY DEPOSIT, CENTRAL IRAN / ZASTOSOWANIE METOD MODELOWANIA NUMERYCZNEGO ORAZ MODELOWANIA FRAKTALNEGO DO ANALIZY JAKOŚCI SKAŁ W CELU OKREŚLENIA CHARAKTERYSTYKI GÓROTWORU W OBSZARZE ZŁOŻA Cu-Mo W KAHANG, ŚRODKOWY IRAN

2013 ◽  
Vol 58 (4) ◽  
pp. 1023-1035 ◽  
Author(s):  
Amir Bijan Yasrebi ◽  
Andrew Wetherelt ◽  
Patrick J. Foster ◽  
Peyman Afzal ◽  
John Coggan ◽  
...  
Keyword(s):  
Rock Mass ◽  
Fractal Model ◽  
Mine Planning ◽  
Central Iran ◽  
Rock Classification ◽  
Porphyry Deposit ◽  
Planning And Design ◽  
Fractal Models ◽  
Rock Quality ◽  
Rock Mass Characterisation

Abstract Identification of rock mass properties in terms of Rock Quality Designation (RQD) plays a significant role in mine planning and design. This study aims to separate the rock mass characterisation based on RQD data analysed from 48 boreholes in Kahang Cu-Mo porphyry deposit situated in the central Iran utilising RQD-Volume (RQD-V) and RQD-Number (RQD-N) fractal models. The log-log plots for RQD-V and RQD-N models show four rock mass populations defined by RQD thresholds of 3.55, 25.12 and 89.12% and 10.47, 41.68 and 83.17% respectively which represent very poor, poor, good and excellent rocks based on Deere and Miller rock classification. The RQD-V and RQD-N models indicate that the excellent rocks are situated in the NW and central parts of this deposit however, the good rocks are located in the most parts of the deposit. The results of validation of the fractal models with the RQD block model show that the RQD-N fractal model of excellent rock quality is better than the RQD-V fractal model of the same rock quality. Correlation between results of the fractal and the geological models illustrates that the excellent rocks are associated with porphyric quartz diorite (PQD) units. The results reveal that there is a multifractal nature in rock characterisation with respect to RQD for the Kahang deposit. The proposed fractal model can be intended for the better understanding of the rock quality for purpose of determination of the final pit slope.

Application of Concentration-Number and Concentration-Volume Fractal Models to Recognize Mineralized Zones in North Anomaly Iron Ore Deposit, Central Iran / Zastosowanie Modeli Fraktalnych Typu K-L (Koncentracja-Liczba), Oraz K-O (Koncentracja Objętość) Do Rozpoznawania Stref Występowania Surowców Mineralnych W Regionie Złóż Rud Żelaza North Anomaly, W Środkowym Iranie

2015 ◽  
Vol 60 (3) ◽  
pp. 777-789 ◽  
Author(s):  
Peyman Afzal ◽  
Reza Ghasempour ◽  
Ahmad Reza Mokhtari ◽  
Hooshang Asadi Haroni
Keyword(s):  
Iron Ore ◽  
Wall Rock ◽  
Fractal Model ◽  
Mine Planning ◽  
Central Iran ◽  
Ore Deposit ◽  
Planning And Design ◽  
Fractal Models ◽  
Mineralized Zone ◽  
Iron Ore Deposit

Abstract Identification of various mineralized zones in an ore deposit is essential for mine planning and design. This study aims to distinguish the different mineralized zones and the wall rock in the Central block of North Anomaly iron ore deposit situated in Bafq (Central Iran) utilizing the concentration-number (C-N) and concentration-volume (C-V) fractal models. The C-N model indicates four mineralized zones described by Fe thresholds of 8%, 21%, and 50%, with zones <8% and >50% Fe representing wall rocks and highly mineralized zone, respectively. The C-V model reveals geochemical zones defined by Fe thresholds of 12%, 21%, 43% and 57%, with zones <12% Fe demonstrating wall rocks. Both the C-N and C-V models show that highly mineralized zones are situated in the central and western parts of the ore deposit. The results of validation of the fractal models with the geological model show that the C-N fractal model of highly mineralized zones is better than the C-V fractal model of highly mineralized zones based on logratio matrix.

scholarly journals Correlation between geology and concentration-volume fractal models: significance for Cu and Mo mineralized zones separation in the Kahang porphyry deposit (Central Iran)

2013 ◽  
Vol 64 (2) ◽  
pp. 153-163 ◽  
Author(s):  
Amir Bijan Yasrebi ◽  
Peyman Afzal ◽  
Andy Wetherelt ◽  
Patrick Foster ◽  
Reza Esfahanipour
Keyword(s):  
Fractal Model ◽  
Central Iran ◽  
Geological Model ◽  
Porphyry Deposit ◽  
Fractal Models ◽  
Supergene Enrichment ◽  
Geological Models

Abstract This study identifies the major mineralized zones including supergene enrichment and hypogene enrichment in the Kahang Cu-Mo porphyry deposit which is located in Central Iran based on subsurface data and utilization of the concentration-volume (C-V) fractal model. Additionally, a correlation between results achieved from a C-V fractal model and geological models consisting of zonation, mineralography and alteration have been conducted in order to have an accurate recognition and modification of the main mineralized zones. Log-log plots indicate five geochemical populations for Cu and Mo in the deposit which means that mineralization commences with 0.075 % and 13 ppm for Cu and Mo (as the first thresholds) respectively. The main mineralization began for Cu ≥ 0.42 % and Mo ≥ 100 ppm and also enriched mineralization containing Cu ≥1.8 % and Mo ≥ 645 ppm which is located in the central part of the deposit. According to the C-V model, the main Cu-Mo mineralized zones occur in the hypogene zone, especially in the central, NW and NE parts of the Kahang deposit. The supergene enrichment zone derived via the C-V model is smaller than that in the geological model and is located in the central and eastern parts of the deposit. Results analysed by the C-V fractal model certify that the interpreted zones based on the fractal model are accurate. To certify this, a logratio matrix has been employed to validate the C-V fractal model for the Cu and Mo main mineralized zones

Application of number–size (N-S) fractal model for separation of mineralized zones in Dareh-Ashki gold deposit, Muteh Complex, Central Iran

2012 ◽  
Vol 6 (11) ◽  
pp. 4387-4398 ◽  
Author(s):  
Alireza Mohammadi ◽  
Ahmad Khakzad ◽  
Nematolah Rashidnejad Omran ◽  
Mohammad Reza Mahvi ◽  
Parviz Moarefvand ◽  
...  
Keyword(s):  
Gold Deposit ◽  
Fractal Model ◽  
Central Iran

Outlining of high quality coking coal by concentration–volume fractal model and turning bands simulation in East-Parvadeh coal deposit, Central Iran

2014 ◽  
Vol 127 ◽  
pp. 88-99 ◽  
Author(s):  
Peyman Afzal ◽  
Seyed Hosein Alhoseini ◽  
Behzad Tokhmechi ◽  
Dariush Kaveh Ahangaran ◽  
Amir Bijan Yasrebi ◽  
...  
Keyword(s):  
Fractal Model ◽  
Central Iran ◽  
Coal Deposit ◽  
High Quality ◽  
Coking Coal ◽  
Turning Bands

Application of an ordinary kriging–artificial neural network for elemental distribution in Kahang porphyry deposit, Central Iran

2020 ◽  
Vol 13 (15) ◽  
Author(s):  
Amir Bijan Yasrebi ◽  
Ardeshir Hezarkhani ◽  
Peyman Afzal ◽  
Reza Karami ◽  
Mohammad Eskandarnejad Tehrani ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Ordinary Kriging ◽  
Central Iran ◽  
Elemental Distribution ◽  
Porphyry Deposit ◽  
Artificial Neural

Analysis and Research on Fractal Model of Normal Contact Stiffness of Joint Interfaces

2011 ◽  
Vol 328-330 ◽  
pp. 336-345
Author(s):  
Guo Sheng Lan ◽  
Xue Liang Zhang ◽  
Hong Qin Ding ◽  
Shu Hua Wen ◽  
Zhong Yang Zhang
Keyword(s):  
Numerical Simulation ◽  
Fractal Dimension ◽  
Normal Load ◽  
Contact Stiffness ◽  
Fractal Model ◽  
Normal Contact ◽  
Fractal Models ◽  
Normal Contact Stiffness

Through the analysis and research on three fractal models of normal contact stiffness of joint interfaces, the differences between them can be found. Furthermore, numerical simulation was carried out to obtain the complicated nonlinear relations between normal contact stiffness and the normal load. The results show that the normal contact stiffness increases with the normal load, decreases with G but complicatedly varies with D. According to different fractal dimension, we can chose an appropriate one among the three fractal models of normal contact stiffness of joint interfaces when describing normal contact stiffness of joint interfaces.

scholarly journals Estimating the rockburst hazard of hard rocks based on laboratory test results

2019 ◽  
Vol 129 ◽  
pp. 01008
Author(s):  
Iuliia Fedotoval ◽  
Nikolay Kuznetcov ◽  
Eduard Kasparyan
Keyword(s):  
Rock Mass ◽  
Rock Fracture ◽  
Standard Test ◽  
Standard Equipment ◽  
Rock Classification ◽  
Rockburst Hazard ◽  
Hazard Degree ◽  
Laboratory Test Results ◽  
Dynamic Fractures ◽  
Deformation Patterns

The results of laboratory tests of samples are used to estimate rock proneness to dynamic fractures, in particular, by brittleness index. A common drawback of the approaches in use is that they do not expressly consider the main condition of dynamic rock fracture – rock mass ability to accumulate energy when loaded. The article discusses the results of studies of the nature of elastic energy accumulation during loading and deformation of samples of various rocks under uniaxial compression in order to assess the degree of their explosion. The approach is original as it studies the deformation curve of rocks at the pre-peak stage that may be obtained with any standard equipment without the use of special-purpose test (“rigid”) devices. Results of the studies conducted on standard test devices have allowed us to identify two different deformation patterns for the rock type tested with further establishment of criteria of rock classification by the degree of proneness to dynamic fractures. This approach is of practical value as it specifies the geomechanics zoning method of the rock mass and improves the assessment of rockburst hazard degree of specific areas at deposits being developed.

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