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Упит dcterms_creator_txt:Michael R. Sandy

795 items

  • Parameter determination of soil oscillation law using quotient of the relative growth increments of oscillation velocity and reduced distances at “Nepričava“ open pit mine

    Suzana Lutovac, Sanja Bajić, Marina Ravilić, Radmila Gaćina (2015)
    ... in our case n > 0. For R = R1, i = 2, 3, ..., N, from the equation (9), we can take that: 1 1 2,3,..., n i i R v v i N R         from where the relation is obtained: 1 1 2 1 1 2 ... ... n N N N N R v v v v R R R             (10) From the ...
    ... of relation (10) we obtain: 1 21 1 2 1 ... log log ... N N N N v v vR n R R R v                where we find: 1 2 1 1 1 2 ... log log ... N N N N v v v v n R R R R                (11) By the replacement of the ...
    ... that: v v n R R     (2) Thereby it can be considered that: 0 lim R v v n R R       which means that is: 12 Lutovac S.; Bajić S.; Gaćina R.; Ravilić M. ...

  • Models of Determining the Parameters of Rock Mass Oscillation Equation with Experimental and Mass Blastings

    Suzana Lutovac, Branko Gluščević, Rade Tokalić, Jelena Majstorović, Čedomir Beljić (2018)
    ... distance R from any level is increased (decreased) by 1%, the oscillation velocity of the soil v will decrease (increase) by approximately n% [8]. Indeed, for h = ± R 100 = ±1%R, from (12) we obtain: v ( R ± R 100 ) ≈ v(R)∓ n· R 100 · v(R) R , v ( R ± R 100 ) ≈ v(R)∓ n· v(R) 100 , v(R ± 1%R) ≈ v(R)∓ ...
    ... function v(R) from (7), in the final growth increment, we obtain: v(R + h) ≈ v(R) + h·v′(R + θ·h), 0 < θ < 1. (11) For small absolute values h, from (11), we obtain the relation: v(R + h) ≈ v(R) + h·v′(R). (12) Having (10) in mind, relation (12) becomes: v(R + h) ≈ v(R)− n·h·v(R) R . (13) A s ...
    ... the form: v(R) = K-R™. (7) Then from the Equation (7) for the derivation v’(R), we obtain: o'(R) = —n-K-R-"1, (8) Minerals 2018, 8, 70 5 of 18 which may be written in the form: v′(R) = − n R ·K·R−n. (9) Having in mind Equation (7), from the Equation (9), we obtain: v′(R) = −n·v(R) R . (10) If ...

  • Some models for determination of parameters of the soil oscillation law during blasting operations

    Suzana Lutovac, Dragan Medenica, Branko Gluščević, Rade Tokalić, Čedomir Beljić (2018)
    ... Equation (3), we obtain: v “ Kv ¨ ˝ 3 b 3¨Q 4¨π r ˛ ‚ n “ Kv ¨ ˜ 3 c 3 4 ¨ π ¸n ¨ ˆ 3 ? Q r ˙n “ Kv ¨ K1 ¨ ˆ r 3 ? Q ˙´n “ K ¨ ˆ r 3 ? Q ˙´n “ K ¨ R´n (5) where as: ˜ 3 c 3 4 ¨ π ¸n “ K1; Kv “ K K1 ; r 3 ? Q “ R (6) where: R—reduced distance is the distance from blasting ...
    ... marked ´n, meaning that: ∆v v ∆R R « ´n (7) Thereby it can be considered that: lim∆RÑ0 ∆v v ∆R R “ ´n, which means: dv v dR R “ ´n (8) Equation (8) can be written in the form: dv v “ ´n ¨ dR R , where by integration is obtained: ż dv v “ ´n ¨ ż dR R , namely: logv “ logR´n ` logC (9) ...
    ... Sm—surfaces of some trapezoids. R Rk Rk R RR RR £R R Figure 2. Graphic view of the polygonal line, N-1 of the trapezoid and curve v = K- R™". If: Ry —R Rigi -Ri =h= a (19) then, for S7, the following value is obtained: h Srp = = [01 +2(v2 +03 +...+U0N-1) + UN] (20) 2 If points R; are not equally spaced, ...

  • Soil oscillation law parameter determination with the application of Lagrange’s theorem at “Kovilovača“ open pit

    Suzana Lutovac, Nebojša Vidanović, Čedomir Beljić, Zoran Gligorić (2015)
    ... v RK Q r K Q r KK r Q K r Q Kv 331 3 3 3 4 34 3 Whereas: 1 3 4 3 K n ; KKKv 1 ; R Q r 3 whereby: R - reduced distance is the distance from blasting point to observation point re- duced to a quantity of explosive and given in the following form 0r r R No ...
    ... theo- rem is valid for it: ),( R- )v(R-)( 1 1 c s s Rv R Rv R1 < Rc < Rs. (8) Bearing in mind the formulas (4) and (5), formula (8) is reduced to: 1-n- c 1 -n 1 -n s Rn-k R- Rk-R sR k , (9) namely to: 1-n- c 1 -n 1 -n s R-n R- R-R sR , R1 < Rc < Rs. (10) No ...
    ... za nju važi Lagranžova teorema: ),( R- )v(R-)( 1 1 c s s Rv R Rv R1 < Rc < Rs. (8) Imajući u vidu formule (4) i (5), for- mula (8) se svodi na: 1-n- c 1 -n 1 -n s Rn-k R- Rk-R sR k , (9) tj. na: 1-n- c 1 -n 1 -n s R-n R- R-R sR , R1 < Rc < Rs. (10) Broj 3, 2015 ...

  • A Knowledge-Based Approach to Mine Ventilation Planning in Yugoslav Mining Practice

    Nikola Lilić, Ivan Obradović, Ranka Stanković (2002)
    Ventilation system analysis is a complex process based on the calculation and analysis of numerous parameters. These problems can be successfully solved by the SimVent numerical package, but a full understanding and use of the obtained results require the involvement of an experienced specialist in the ventilation field. The solution was found in the creation of a hybrid system INVENTS, whose knowledge base represents a formalization of the expert knowledge in the mine ventilation field. In this paper, we ...
    ... M in . R es . E n g . 2 0 0 2 .1 1 :3 6 1 -3 8 2 . D o w n lo ad ed f ro m w w w .w o rl d sc ie n ti fi c. co m b y U N IV E R S IT Y O F A L B E R T A o n 0 4 /2 6 /1 5 . F o r p er so n al u se o n ly . 362 N. Lilić, I. Obradović & R. Stanković ...
    ... M in . R es . E n g . 2 0 0 2 .1 1 :3 6 1 -3 8 2 . D o w n lo ad ed f ro m w w w .w o rl d sc ie n ti fi c. co m b y U N IV E R S IT Y O F A L B E R T A o n 0 4 /2 6 /1 5 . F o r p er so n al u se o n ly . 364 N. Lilić, I. Obradović & R. Stanković ...
    ... M in . R es . E n g . 2 0 0 2 .1 1 :3 6 1 -3 8 2 . D o w n lo ad ed f ro m w w w .w o rl d sc ie n ti fi c. co m b y U N IV E R S IT Y O F A L B E R T A o n 0 4 /2 6 /1 5 . F o r p er so n al u se o n ly . 366 N. Lilić, I. Obradović & R. Stanković ...

  • Analysis of a simplified model for determining rock mass oscillation velocity at the Kovilovača open pit

    Suzana Lutovac, Miloš Gligorić, Jelena Majstorović, Luka Crnogorac (2023)
    ... ~_n: Ap 5 (4) R Thereby, it can be considered that: Av Av lim „ _, Š =-n _ Which means that is: & =-n 6) R R . . Av AR . NEAR . Equation (5) can be written in the form: — %* — · R whereby integration, it is obtained: v Av AR — ~-n·| —,,respectively: logv=logR" +logC; j v j R p y: 108 ii Š ...
    ... equation where oscillation velocity V is given in the form of: v=K-R"; (D where R is reduced distance, that represents distance from the blasting site to monitoring site r , reduced to the total quantity of the explosive Q i.e., R =%č. Parameters K and m are conditioned by } v characteristics ...
    ... [m], Q - total amount of explosive [kg] . r [] v R - the reduced distance, given in the form R = | A significant property of the equation of rock mass oscillation velocity depending on the reduced distance is as follows: if the reduced distance R from any level is increased (decreased) by 1% ...

  • Arsenic in tape waters of the south Pannonian basin (Serbia) and arsenic risk assessment

    Petar Papić, Marina Ćuk, Maja Todorović, Jana Stojković, Bojan Hajdin, Nebojša Atanacković, Dušan Polomčić (2012)
    ... *e-mail: ppapic@rgf.bg.ac.rs A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • (10 μg/L). About 500 ...
    ... location of the test area. A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • Experimental Procedures ...
    ... Tap Water of Serbia’s... 1785 A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • A u th o r C o p y • some cases. Below this ...

  • Nonequilibrium athermal random-field Ising model on hexagonal lattices

    Svetislav Mijatović, Dragutin Jovković, Đorđe Spasojević (2021)
    Изингов модел, хексагонална решетка

  • Природни потенцијал минералних вода Србије - Natural potential of mineral waters in Serbia

    Оливера Крунић (2021)
    минералне воде

  • A tool for identifying the criticality in the disordered systems with metastable dynamics

    Svetislav Mijatović, Dragutin Jovković, Sanja Janićević, Stefan Graovac, Đorđe Spasojević (2021)
    Физика кондензоване материје

  • Investigation of Co0.9Ho0.1MoO4 Nanopowders Obtained by Glycine Nitrate Procedure

    Milena Rosić, Maja Milošević, Maria Čebela, Vladimir Dodevski, Vesna Lojpur, Radomir Ljupković, Aleksandra Zarubica (2023)
    ... University in Skopje, R. N. Macedonia Members: Assoc. Prof. Dr. Vojo Jovanov, Faculty of Technology and Metallurgy, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia Iva Dimitrievska, MSc, Faculty of Technology and Metallurgy, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia ...
    ... and Metallurgy, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia Members: Prof. Dr. Trajče Stafilov, Institute of Chemistry, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia Prof. Dr. Viktor Stefov, Institute of Chemistry ...
    ... Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, R. N. Macedonia Prof. Dr. Blazo Boev, Faculty of Natural and Technical Sciences, Goce Delčev University, Štip, R. N. Macedonia Prof. Dr. Panče Naumov, Division of Science and Mathematics, New York University ...

  • Hydrogeothermal potentials of Rogozna mountain and possibility of their valorization

    D. R. Ivanović, Dj. A Valjarević, R. D. Srećković-Batoćanin, N. M. Martić-Bursać, D. Ž. Vukoičić, R. M. Ivanović (2020)
    Geotermalna energija, hidrogeotermalni potencijal, stepen iskorišćenja, banja, Rogozna, Srbija

  • Critical disorder and critical magnetic field of the nonequilibrium athermal random-field Ising model in thin systems

    Svetislav Mijatović, Dragutin Jovković, Sanja Janićević, Đorđe Spasojević (2019)
    Изингов модел, критично понашање, танки системи

  • Threshold-induced correlations in the Random Field Ising Model

    Sanja Janićević, Dragutin Jovković, Lasse Laurson, Đorđe Spasojević (2018)
    Multidisciplinary
    ... T T T T T r 1 1 10? 10! 10° 10! 107 10! _— 10! Wp -)) 4s V0 Ty VC" Cc <7 L522, R=2.375, Vi, 25 d Ss L522, R=2.375, Viyy=25 > 1074 © = 1-1024, R=2.30, Vi,=50 = © = 1-1024, R=2.30, V,,—50 a A 12046, R=2.25, Vj,=102 a A 12046, R=2.25, Vy.=102 om ¥ L=4087, R=2.22, Vy,=208 = 1074 V L-4087, R=2.22, Vy,=208 ...
    ... various disorders R (see legend), collapse onto a same curve when presented against V;,r, where the reduced disorder r=(R— R,)/R measures a distance to the critical disorder R, of the model. Inset shows how vy} (i.e. the exponent 7 taken for V,, = 0) depends on the reduced disorder r. When a threshold ...
    ... com/scientificreports/ ais yp m 1-522, R=2.375, V,=25 | ph <=) voy m £822, R=2.375, Vy, =25 > "Wy © 1=1024, R=2.30, Vy,=50 a vy ine © £=1024, R=2.30, Vy.=50 a vn 4 1=2046, R=2.25, V,,=102 i904 vy 4 1=2046, R=2.25, V,,=102 = 10°4 L=4087, R=2.22, V.=208 = L=4087, R=2.22, V.=208 ~ ~ a # 1024 S 1074 & _ & ...

  • A Fuzzy Expert Model for Availability Evaluation

    Dejan Ivezić, Miloš Tanasijević, Predrag Jovančić, Radiša Đurić (2019)
    Each technical system within itself carries the great potential danger of possible occurrence of failure and damages. Mining machines are characteristic by great investment values, costs of unplanned shutdowns, complex working conditions, and environment and workers hazards. Systematic monitoring of the mining machinery is of great importance for the management of the mining companies. Availability is the overall concept of quality of service. Includes information regard to operating state, an idle state, a standby state and shut down. The ...
    raspoloživost, ekspertski sistem, fazi teorija, buldozeri
    ... in d ic a to r Questionnaire: Bulldozer Liebherr – Drmno Open Pit Mine Grade: Excellent Good Average Adequate Poor The degree of affiliation, % 1 R 40 60 M 100 S 100 2 R 20 80 M 100 S 50 50 3 R 100 M 100 S 100 4 R 80 20 M 80 20 ...
    ... terms and Caterpillar as "good" in terms of R and S and "excellent" in term of M. This can be written in the form: R(A1-Lib.) = 0.4/good,0.6/avr; M(A1-Lib.) = 1/avr; S(A1- Lib.) = 1/adeq; R(A1-Drs.) = 1/avr; M(A1-Drs.) = 1/avr; S(A1-Drs.) = 1/avr; R(A1-Cat.) = 1/good; M(A1-Cat.) = 1/exel; S(A1-Cat ...
    ... basin are: R(A2-Lib.) = 0,2/good,0.8/avr; M(A2-Lib.) = 1/good; S(A2- Lib.) = 0,5/aver, 0.5/adeq; R(A2-Drs.) = 0,2/good,0.8/avr; M(A2-Drs.) = 1/good; S(A2- Drs.) = 0,5/aver, 0.5/adeq; R(A2-Cat.) = 0.8/exc,0.2/good; M(A2-Cat.) = 0.6/good,0.4/avr; S(A2-Cat.) = 0.5/good,0.5/avr; R(A3-Lib.) = 1/good; ...

  • Properties of fly ash and slag from the power plants

    Miloš Šešlija, Aleksandra Rosić, Nebojša Radović, Milinko Vasić, Mitar Đogo, Milovan Jotić (2016)
    This paper describes the physical, chemical and mineral properties of ash and slag, which were taken from thermal power plants Nikola Tesla A, Nikola Tesla B, Kostolac A and Kostolac B. The knowledge of the mineralogical material composition is important because the type of minerals directly determines the properties of the fly ash and slag and their possible application. Laboratory tests showed that ash and slag samples consist of the following minerals: amorphous materials, quartz, feldspar, mullite, melilite, cristobalite, ...
    fly ash, slag, physical composition, chemical composition, mineral composition, X-ray diffraction method
    ... 28) R(0.37) CaO(0.84) SO3(0.92) SiO2(0.89) Al2O3(0.93) R(0.82) Na2O CaO(0.47) He(0.34) pH(0.43) f(0.49) CaO(0.82) He(0.38) pH(0.99) f(0.45) K2O Q(0.69) SiO2(0.68) CaO(0.49) He(0.90) R(0.77) w(0.16) <2.9(0.47) AM(0.57) Q(0.48) SiO2(0.82) CaO(0.84) He(0.53) R(0.99) w(0.99) <2.9(0.68) AM(0.98) R He(0 ...
    ... 24) Kr(0.70) He(0.41) Ml(0.58) R(0.40) Na2O(0.99) Fe2O3(0.99) Kr(0.99) He(0.25) Ml(0.25) R(0.97) w CaO(0.65) K2O(0.33) Al2O3(0.80) SiO2(0.44) He(0.08) R(0.74) CaO(0.97) K2O(0.78) Al2O3(0.36) SiO2(0.65) He(0.34) R(0.96) <2.9 w(0.39) CaO(0.55) K2O(0.63) Al2O3(0.43) M(0.75) R(0.58) w(0.63) CaO(0.47) K2O(0 ...
    ... the chemical composition the module R is deter- mined, and is shown in Fig. 5. The R module is used for deter- mination of ash and slag classification according to the chem- ical composition. The formula for determining the R module is: 2 3 2 3 ( ) ( ) SiO AlO R CaO MgO Fe O + = + + (1) According ...

  • Contribution to the geotechnical classification of municipal waste landfills in Serbia

    Dragoslav Rakić, Irena Basarić, Laslo Čaki, Slobodan Ćorić (2018)
    Management, Monitoring, Policy and Law, Nature and Landscape Conservation, Geochemistry and Petrology, Waste Management and Disposal,Geotechnical Engineering and Engineering Geology,Water Science and Technology,Environmental Chemistry,Environmental Engineering

  • Early–Middle Jurassic brachiopods from Ponor Mountain, Western Balkan Mountains, Bulgaria; taxonomy, biostratigraphy and occurrence in the context of the early Toarcian Oceanic Anoxic Event

    Barbara V. Radulović, Lubomir S. Metodiev, Neda Motchurova-Dekova, Platon Tchoumatchenco (2023)
    Brachiopods, taxonomy, biostratigraphy, early Toarcian Anoxic Event, Bulgaria

  • Korelacija magnetnog susceptibiliteta i sadržaja metala u flotacijskom jalovištu

    Filip Abramović, Vesna Cvetkov, Aco Ilić, Dragana Životić (2022)
    Procena metala u rudama, jalovištu i zemljištu se tradicionalno određuje hemijskim metodama kao što su Rengen fluorescentna analiza (XRF), Instrumentalna neutronska aktivaciona analiza (INAA) i Masena spektrometrija induktivno spregnute plazme (ICP-MS). Neke od pomenutih metoda su veoma zahtevne i skupe, te se nametnula potreba ka traženju jeftinijeg alata za brzu procenu prisustva pojedinih metala. Tokom poslednjih nekoliko decenija, mnoge studije su pokazale da su magnetna merenja dovoljno osetljiva da detektuju magnetni signal feromagnetnih materijala, a samim tim i metala ...
    flotacijsko jalovište, makroelementi, magnetna merenja

  • Debris-flow Susceptibility Assessment in Flow-R: Ribnica River Case Study

    Ksenija Micić, Miloš Marjanović, Biljana Abolmasov (2024)
    Debris flows are among the most dangerous erosional geohazards due to the fast rate of movement and long runout zones. Even though the initiation can be triggered in mountainous areas, inhabited and with steep slopes, their propagation and deposition can endanger not only buildings and infrastructure in the urbanized areas, but also threaten human lives. As these initiation areas usually represent unattainable terrains with rapid vegetation cover development, field observations and aerial photo analysis become high-demanding tasks. Consequently, medium-to-regional ...
    tečenje drobine, Flow-R, procena podložnosti, empirijski model