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M. Monjezi S. M. Hashemi Rizi V. Johari Majd Manoj Khandelwal 《Geotechnical and Geological Engineering》2014,32(1):21-30
Backbreak is one of the destructive side effects of the blasting operation. Reducing of this event is very important for economic of a mining project. Involvement of various parameters has made the backbreak analyzing difficult. Currently there is no any specific method to predict or control the phenomenon considering all the effective parameters. In this paper, artificial neural network (ANN) as a powerful tool for solving such complicated problems is used to predict backbreak in blasting operation of the Sangan iron mine, Iran. Network training was fulfilled using a collected database of the practiced operation including blast design details and rock condition. Trying various types of the networks, a network with two hidden layers was found to be optimum. Performance of the ANN model was compared with statistical analysis using datasets which were kept apart from the original database. According to the obtained results, for the ANN model there existed a higher correlation (R2 = 0.868) and lesser error (RMSE = 0.495) between the predicted and measured backbreak as compared to the regression model. Also, sensitivity analysis revealed that the inputs rock factor and number of rows are the most and the least sensitive parameters on the output backbreak, respectively. 相似文献
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Baseline metals pollution profile of tropical estuaries and coastal waters of the Straits of Malacca
Ley Juen Looi Ahmad Zaharin Aris Wan Lutfi Wan Johari Fatimah Md. Yusoff Zailina Hashim 《Marine pollution bulletin》2013
The status report on metal pollution in tropical estuaries and coastal waters is important to understand potential environmental health hazards. Detailed baseline measurements were made on physicochemical parameters (pH, temperature, redox potential, electrical conductivity, salinity, dissolved oxygen, total dissolved solid), major ions (Na, Ca, Mg, K, HCO3, Cl, SO4 and NO3) and metals concentrations (27Al, 75As, 138Ba, 9Be, 111Cd, 59Co, 63Cu, 52Cr, 57Fe, 55Mn, 60Ni, 208Pb, 80Se, 66Zn) at estuaries and coastal waters along the Straits of Malacca. Principal component analysis (PCA) was employed to reveal potential pollution sources. Seven principal components were extracted with relation to pollution contribution from minerals-related parameters, natural and anthropogenic sources. The output from this study will generate a profound understanding on the metal pollution status and pollution risk of the estuaries and coastal system. 相似文献
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Study about water characteristics(temperature and salinity) from the World Ocean Database(WOD) was conducted in the area of southern South China Sea(SSCS), covering the area of 0°–10°N, 100°–117°E. From interannual analysis, upper layer(10 m) and deep water temperature(50 m) increased from 1951 until 2014. Monthly averaged show that May recorded the highest upper layer temperature while January recorded the lowest. It was different for the deep water which recorded the highest value in September and lowest in February. Contour plot for upper layer temperature in the study area shows presence of thermal front of cold water at southern part of Vietnam tip especially during peak northeast season(December–January). The appearances of warm water were obviously seen during generating southwest monsoon(May–June). Thermocline study revealed the deepest isothermal layer depth(ILD) during peak northeast and southwest monsoon. Temperature threshold at shallow area reach more than 0.8°C during the transitional period. Water mass study described T-S profile based on particular region. Water mass during the southwest monsoon is typically well mixed compared to other seasons while strong separation according to location is very clear. During transitional period between northeast monsoon to southwest monsoon, the increasing of water temperature can be seen at Continental Shelf Water(CSW) which tend to be higher than 29°C and vice versa condition during transitional period between southwest monsoon to northeast monsoon. Dispersion of T-S profile can be seen during southwest monsoon inside Tropical Surface Water(TSW) where the salinity and temperature become higher than during northeast monsoon. 相似文献
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Modelling the mechanical behaviour of unsaturated soils has been the subject of many research works in the past few decades. A number of constitutive models have been developed to describe the complex behaviour of unsaturated soils. Despite the significant advances in the constitutive theories for unsaturated soils, none of the existing models can completely describe the various aspects of the real behaviour of unsaturated soils. In this paper, a new unified approach is presented, based on the integration of a neural network and a genetic algorithm, for the modelling of unsaturated soils. In the proposed approach, a genetic algorithm was used to optimise the weights of the neural network. A three-layer sequential architecture was chosen for the neural network. The network had eight input neurons, five neurons in the hidden layer and three neurons in the output layer. The eight input neurons represented the initial gravimetric water content, initial dry density, degree of saturation, net mean stress with respect to pore-air pressure, axial strain, deviatoric stress, soil suction and volumetric strain, and the three neurons in the output layer represented the deviatoric stress, suction and volumetric strain at the end of each increment. The network was trained and tested using a database that included results from a comprehensive set of triaxial tests on unsaturated soils from the literature. The predictions of the proposed model were compared with the experimental results. The comparison of the results indicates that the proposed approach was accurate and robust in representing the mechanical behaviour of unsaturated soils. 相似文献
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S. Johari 《Journal of Geochemical Exploration》1987,28(1-3)
The Southeast Asia Tin Research and Development (SEATRAD) Centre initiated a project to study the relationship between Sn mineralization and geochemical anomalies in non-residual overburden at and around Tebrong in the Lenggang district of Eastern Belitung, located about 400 km north-northeast of Jakarta. Belitung island, with a land surface area of about 5000 km2, forms the easternmost expression of the Southeast Asian tin belt.There is essentially no outcrop, only minor scattered float in the study area. Drainage is very poorly developed and consists of several small creeks. The climate is tropical with a mean daily maximum temperature of 33°C, and an average annual rainfall of about 2000 mm. The watertable is at approximately 5 m depth, depending on seasonal rainfall and local elevation.The oldest rock sequence in the study area is a Triassic metasediment consisting of sandstone, phyllite, claystone, mudstone and quartzite. These rocks are intruded by Triassic granitic plutons. The Tebrong area is underlain by low-grade Sn mineralization consisting of swarms of <0.5-cm-thick subvertical quartz - tourmaline - kaolinite - chlorite - cassiterite veins. In general, cassiterite is present in quartz veins which occur as fracture fillings in the country rocks. These rocks are overlain by Quaternary cassiterite-bearing alluvium (kaksa). Residual lag kaksa typically occurs on Belitung.In the central part of the study area where there is a thick alluvial cover, the soil is mostly transported material. Surface soil geochemically anomalies are absent, but near bedrock, weak anomalies can delineate placer concentration of Sn.Based on the findings of the initial survey, it can be concluded that the distribution of Sn in non-residual overburden does not reflect bedrock Sn distribution. However, geochemical soil profiling, using a motorized auger, can be usefully employed to delineate target areas for further exploration for placer Sn. 相似文献
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