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Literatura académica sobre el tema "Computer simulation"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 9 de junio de 2025

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Artículos de revistas sobre el tema "Computer simulation"

1

Zheng, Lei, Ying Huang, Dong Liu, and Wei Yan Xing. "A Reliability Simulation Method for On-Board Computer." Applied Mechanics and Materials 380-384 (August 2013): 3350–53. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3350.

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As high reliable equipment, on-board computer often has difficulties to evaluate its reliability. The paper put forward a simulation method to compute on-board computers reliability. The method uses a forced transition (FT) based reliability simulation model to deal with the on-board computers that have complex structure and diversiform characteristic parameters. The model is particularly suitable for the on-board computers which are composed of the components whose failure processes obey tub life curve. As an example, a prototype on-board computer was put forward and simulated using the model. The presented reliability simulation model can be adopted for the on-board computer probability risk assessment where analytic methods or exact solutions cannot be easily reached.

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Wu, Qing, Maksym Spiryagin, Ingemar Persson, Chris Bosomworth, and Colin Cole. "Parallel computing of wheel-rail contact." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 10 (October 8, 2019): 1109–16. http://dx.doi.org/10.1177/0954409719880737.

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Railway wheel–rail contact simulations are the most important and time-consuming tasks when simulating the system dynamics of vehicles. Parallel computing is a good approach for improving the numerical computing speed. This paper reports the advances in parallel computing of the wheel–rail contact simulations. The proposed method uses OpenMP to parallelise the multiple contact points of all the wheel–rail interfaces of a locomotive model. The method has been implemented in the vehicle system dynamics simulation package GENSYS. Simulations were conducted using two numerical solvers (4th Runge-Kutta and HeunC) and a maximum of four computer cores. Simulation cases have shown exactly the same numerical results using serial computing and parallel computing, which prove the effectiveness of the parallel computing method. The HeunC solver achieved the same simulation results and is 3.5 times faster than the 4th Runge-Kutta method. Simulation results obtained from both numerical solvers show that parallel computing using 2, 3 and 4 computer cores can improve the simulation speeds by roughly 29, 39 and 41%, respectively. There is an apparent diminishing of the rate of improvement due to the increase of the communication resource overhead when more computer cores are used. Using up to four computer cores does not require revision of the GENSYS code, and simulations can be executed using personal computers.

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PREVE, NIKOLAOS P., and EMMANUEL N. PROTONOTARIOS. "MONTE CARLO SIMULATION ON COMPUTATIONAL FINANCE FOR GRID COMPUTING." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (May 17, 2012): 1250010. http://dx.doi.org/10.1142/s1793962312500109.

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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating complex systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is infeasible or impossible to compute an exact result with a deterministic algorithm. In finance, Monte Carlo simulation method is used to calculate the value of companies, to evaluate economic investments and financial derivatives. On the other hand, Grid Computing applies heterogeneous computer resources of many geographically disperse computers in a network in order to solve a single problem that requires a great number of computer processing cycles or access to large amounts of data. In this paper, we have developed a simulation based on Monte Carlo method which is applied on grid computing in order to predict through complex calculations the future trends in stock prices.

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4

Pias, Claus. "On the Epistemology of Computer Simulation." ZMK Zeitschrift für Medien- und Kulturforschung 2/1/2011: Offene Objekte 2, no. 1 (2011): 29–54. http://dx.doi.org/10.28937/1000107521.

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"Der Aufsatz plädiert dafür, die Geschichte der wissenschaftlichen Computersimulation auf eine spezifisch medienhistorische Weise zu untersuchen. Nach einigen Vorschlägen zur Charakterisierung der Besonderheiten von Computersimulationen werden zwei Beispiele interpretiert (Management-Simulationen der 1960er und verkehrstechnische bzw. epidemiologische Simulationen der 1990er). Daraus leiten sich Fragen nach dem veränderten Status wissenschaftlichen Wissens, nach der Genese wissenschaftstheoretischer Konzepte und nach wissenschaftskritischen Optionen ab. </br></br>The paper suggests to analyze the history of scientific computer simulations with respect to the history of media. After presenting some ideas concerning the peculiarities of computer simulation, two examples (management simulations of the 1960s; traffic-related and epistemological simulations of the 1990s) are interpreted. From them, further questions concerning the status of scientific knowledge, the genesis of epistemological concepts and their critique are derived. "

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Adavize, Momoh Hameed, and Mohammed Ahmed. "Assessing hardware-driven variations from workstations to personal computers in gate simulation time for radioembolization studies." Science World Journal 20, no. 1 (May 12, 2025): 181–85. https://doi.org/10.4314/swj.v20i1.24.

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Monte Carlo GATE (Geant4 Application for Tomographic Emission) is widely used in medical physics for tomographic emission simulations, particularly in nuclear medicine procedures like radioembolization for liver cancer treatment. Despite its userfriendly interface, GATE simulations are often criticized for their slow computational speed, which poses challenges for students and researchers. Factors such as computer hardware (RAM, CPU, GPU, storage type), simulation settings, and the complexity of physics modeling significantly influence simulation times. This study investigates how hardware configurations impact GATE simulation performance by simulating a Yttrium-90 (Y-90) radioembolization procedure using a cylindrical phantom and tumor inserts. Simulations were conducted on three computers: an HP workstation, a DELL, and an HP Envy, with varying hardware specifications. Results revealed that the workstation, equipped with higher RAM, CPU, and GPU capabilities, demonstrated significantly faster simulation times compared to the personal computers. This highlights the critical role of advanced hardware in reducing computational time for GATE simulations. The study provides valuable insights for young researchers, emphasizing the importance of hardware optimization to achieve efficient and timely results in Monte Carlo-based medical physics research.

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Matsuoka, Takaaki. "Computer Simulation." Nihon Reoroji Gakkaishi 31, no. 1 (2003): 51–57. http://dx.doi.org/10.1678/rheology.31.51.

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Fishwick, P. A. "Computer simulation." IEEE Potentials 15, no. 1 (1996): 24–27. http://dx.doi.org/10.1109/45.481372.

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Nance, Richard E., and C. Michael Overstreet. "Computer simulation." ACM SIGSIM Simulation Digest 24, no. 3 (January 1995): 40–50. http://dx.doi.org/10.1145/219271.219277.

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Klaassens, Elizabeth. "Computer Simulation." Nurse Educator 13, no. 2 (March 1988): 7. http://dx.doi.org/10.1097/00006223-198803000-00004.

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Materials & Chemistry Division. "Computer simulation." NDT & E International 24, no. 4 (August 1991): 227. http://dx.doi.org/10.1016/0963-8695(91)90364-9.

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Tesis sobre el tema "Computer simulation"

1

Rowley, Adrian. "Computer simulation of oxides." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298405.

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Henson, Neil Jon. "Computer simulation of zeolites." Thesis, University of Oxford, 1996. http://ora.ox.ac.uk/objects/uuid:bd348db7-259a-42e2-952c-0e4723978b63.

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The application of a wide range of computational methods to several problems in zeolite chemistry is explored in this thesis. Symmetry-constrained lattice energy minimisations have been performed on a series of pure silica polymorphs using the shell model for silicates and quantitative agreement is found between the experimental and calculated structures. The computed lattice energies of the silicas are found to be between 8 and 20 kJmol<sup>-1</sup> less stable than quartz. The energies are found to be directly dependent on the densities of the structures and show good agreement with a recent calorimetric study. A new forcefield for aluminophosphates based on the shell model has been obtained by fitting to the structure and properties of berlinite and lattice energy minimisation calculations have been carried out on a series of aluminium phosphate polymorphs. The experimental structures are reproduced to a reasonable accuracy, especially in cases where high quality crystallographic data are available on calcined structures. In cases where experimental methods give conflicting results regarding the space group symmetry, calculated structures having lower symmetry than those observed in the crystallographic studies are suggested. An approximately linear dependence of lattice energy on density is again observed; the computed lattice energies are found to span a range of 11.7 kJmol<sup>-1</sup> higher than berlinite, which compares to an experimentally determined range of 9.7 kJmol<sup>-1</sup>. Proton binding calculations have been performed on the structure of H-SAPO-37 to determine the most favourable binding proton sites. The calculations correctly reproduce the sites which have the highest fractional occupancies in a crystallographic study. Molecular dynamics simulation has been used to study the diffusion of xenon in ferrierite and zeolite-L. It was found that at 298K and a loading level of 1.33 atoms per unit cell, diffusion down the tenring channel in ferrierite is a more facile process than down the wider twelve-ring channel in zeolite-L (D=8.90xl0<sup>-9</sup> m<sup>2</sup>s<sup>-1</sup> for ferrierite versus 1.78xl0<sup>-9</sup> for zeolite-L). This effect can be rationalised by consideration of the effect of channel shape on the diffusion pathway. Under the same conditions, the interaction energy was calculated to be more favourable for ferrierite (ΔU=-25.7 kJmol<sup>-1</sup> versus -20.0 kJmol<sup>-1</sup>). A new forcefield for the interaction of hydrocarbons and aromatics with siliceous zeolites was fitted to thermochemical and crystallographic data. The forcefield successfully reproduced the crystallographically determined positions of pyridine and propylamine in siliceous ferrierite and dodecasil-3C. In addition, quantum mechanical calculations were used to fit a forcefield for the interaction of benzene with cation-containing zeolites. Molecular dynamics calculations were used to study the transport of benzene in siliceous faujasite. The coupling of lattice vibrations to the benzene molecule was found to enhance the mobility (for example, at 298K, D=0.11xl0<sup>-9</sup>m<sup>2</sup>s<sup>-1</sup> with a fixed lattice compared to D=0.31xl0<sup>-9</sup>m<sup>2</sup>s<sup>-1</sup> with aflexible lattice). Two diffusion regimes were observed corresponding to intra- and inter-cage benzene mobility which correlate well with hypothetical hopping pathways. Analogous pathways for benzene in cation-containing zeolites have shown that cation sites act as traps for the benzene in Na-X and Na-Y, which reduce the mobility compared to the siliceous case. In Na-X, the pathways are further modified by the addition of extra cation sites that act to reduce the hopping activation energy and therefore enhance the diffusion. This behaviour is consistent with observed trends in experimentally determined diffusivities.

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3

Drew, Philip Morton. "Computer simulation of dendrimers." Thesis, University of Leeds, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418245.

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Hawkins, James David. "Computer simulation of trachoma." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.255761.

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Moskalenko, A. M. "Nature of computer simulation." Thesis, Київський національний університет технологій та дизайну, 2019. https://er.knutd.edu.ua/handle/123456789/14368.

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Růžička, Štěpán. "Computer simulation of mesocrystals." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/63807/.

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The mesoscale is a thousand times larger than the atomistic scale with colloidal particles, rather than atoms or molecules, forming the constituent building blocks for organized structures. Nanotechnology has recently started interpreting colloidal units as colloidal molecules, and a lot of interest emerged in their assembly into self-organized structures called colloidal crystals. A mesocrystal is a special type of colloidal crystal, where constituent colloidal units are crystallographically registered nanocrystals. Computer simulation of colloidal self-assembly requires coarse-graining, where short-range attraction is usually the dominant force on the colloidal scale. In this thesis, moderately deep quenches of short-range attractive spherical colloids at low packing fractions are performed, because strong clustering into liquid drops preceding crystallization is known to follow quenching and is reminiscent of mesocrystallization. Moreover, variation of simulation parameters in those models allows an easy investigation of the competition between the fundamental processes of multiscale assembly such as coarsening, crystallization, gelation, and phase separation interfering with the dynamical slowing down. Since colloidal building blocks are usually characterized by complex anisotropic interactions we use Monte Carlo rather than dynamical simulations. The thesis is focused on the development of the Virtual Move Monte Carlo which is a Monte Carlo cluster algorithm selecting the moving clusters according to the local energy gradients. The algorithm allows one to control the rates of local crystal evolution and a larger scale cluster aggregation. The thesis investigates the conditions at which the crystallization precedes the aggregation and vice versa. It is confirmed by the Monte Carlo simulations that the properties of kinetically slowed down structures are independent of the microscopic dynamics, and that three different linear growth regimes, correlated to the local order, are present in systems where structure evolves mainly via single particle exchange. It is also shown that long-range repulsions are necessary to stabilize the phase separated aggregates, and that a renormalization of the repulsion leads to a significant decrease of polydispersity of the liquid or recrystallized drops. The efficiency of rotational cluster moves simulating the alignment into crystallographic register is enhanced by several orders of magnitude in this thesis. The results are discussed in the language of recent colloidal physics and related to a wider range of coarsening and self-assembly phenomena observed during the nonclassical crystallization or mesocrystallization processes.

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7

Melheim, Jens Andreas. "Computer simulation of turbulent electrocoalescence." Doctoral thesis, Norwegian University of Science and Technology, Department of Energy and Process Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1514.

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<p>Offshore wells produce some water, and the ratio of water increases during the lifetime of a well, in particular when water is injected to increase the extraction rate. Hence, oil companies demand techniques that enhance the separation of oil and water. A speed-up of the separation process is achieved by applying electric fields to turbulent-flow water-in-oil emulsions. The electric field gives rise to attractive forces between close droplets and increases the probability of coalescence at contact, while the turbulence enhances the frequency of droplet collisions.</p><p>To improve the understanding of the mutual interaction between the turbulence and the electric field, this thesis presents a framework for computer simulation of turbulent electrocoalescence. The framework is based on the Eulerian-Lagrangian approach where each droplet is tracked and the electric and the hydrodynamic interactions between the droplets are handled.</p><p>The forces working between two droplets in stagnant oil are modelled and compared with experimental data. It was found that the electric dipole-dipole forces and the filmthinning forces dominate at small droplet spacings.</p><p>The turbulence felt by the droplets is modelled by a stochastic differential-equation model. A new model is proposed to correlate the fluid velocities seen by close droplets, and this is important for the prediction of the collision velocity, the collision frequency, and the clustering of droplets.</p><p>Two algorithmic improvements are made: An adaptive cell structure and the cluster integration method. The proposed adaptive cell structure adapts to the number density of droplets and ensures an efficient computation without any input from the user regarding the cell structure. The cluster integration method assembles clusters of droplets that interact and integrates each cluster separately using a variable step-size Runge-Kutta method. A significant speed-up compared to traditional approaches is reported.</p><p>Finally, the results obtained by computer simulations of turbulent electrocoalescence agree qualitatively with experimental observations in the literature.</p><br>Paper III reprinted with kind permission of Elsevier, Sciencedirect.com

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8

Alam, Sadaf. "Simulation of the UKQCD computer." Thesis, University of Edinburgh, 2004. http://hdl.handle.net/1842/24120.

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HASE, the Hierarchical computer Architecture design and Simulation Environment, allows for parameterised prototyping of computing systems at multiple abstraction levels encompassing system hardware and application software components. The UKQCD computer simulation research aims to explore the design space and to investigate the performance restricting features of a recent, application-specific supercomputer called QCDOC — Quantum Chromodynamics On-Chip. QCD is a particle physics theory and a 'grand challenge' application. The QCDOC computer employs IBM System-On-Chip technology for a Teraflop-scale supercomputer design. An application-driven simulation approach is introduced for application-specific supercomputer modelling in HASE. Parameterised hardware-software co-simulation models of the QCDOC machine have been created. Advantages of the application-driven co-simulation include a wider design space exploration of hardware components - not restricted by static workload configurations - and simulation metamodelling. Workload scalability and load balancing experiments have been conducted along with performance evaluation of QCDOC's custom-designed features. Moreover, together with HASE features, simulation metamodelling allows efficient generation of alternate simulation models with maximum component reuse and minimum design overhead. Experiments with HASE QCDOC and its successor Bluegene/L simulation models confirm that QCDOC on-chip memory configurations are optimised for QCD code.

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9

Steiner, Stefan. "Grace Hospital computer simulation model." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/27638.

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A simulation model, written in GPSS/H, was created to study utilization of Grace Hospital, a special-purpose maternity hospital. The model assumes that a patient's transfers and length of stay depend only on her present location and classification, and not on any past history. The model includes a sophisticated overflow policy, and allows the factors used to govern a patient's transfers and length of stay to depend on her treatment stage. Also, to more accurately simulate the mid-morning peak load in the hospital, the length of stay in Postpartum depends on a patient's arrival time in Postpartum. The average census, and the number of patient-days spent in inappropriate units or lost due to overcrowding are determined for several future scenarios. It was concluded that Grace is running very close to capacity, and must continue to limit the number of admissions allowed. In addition, an early discharge program was shown to be very effective in alleviating the overcrowding.<br>Science, Faculty of<br>Mathematics, Department of<br>Graduate

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10

Eldridge, Matthew David. "Computer simulation of colloidal suspensions." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359410.

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Libros sobre el tema "Computer simulation"

1

Watson, Hugh J. Computer simulation. 2nd ed. New York: Wiley, 1989.

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1948-, Blackstone John H., ed. Computer simulation. 2nd ed. Chichester: Wiley, 1989.

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3

Dr. Holm, Christian, and Kurt Prof. Dr. Kremer, eds. Advanced Computer Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b98052.

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Beisbart, Claus, and Nicole J. Saam, eds. Computer Simulation Validation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-70766-2.

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United States. Office of Naval Research, ed. ENEWS, computer simulation. [Washington, DC: Office of Naval Research, 1990.

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Stauffer, Dietrich, Friedrich W. Hehl, Volker Winkelmann, and John G. Zabolitzky. Computer Simulation and Computer Algebra. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-97091-7.

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Stauffer, Dietrich, Friedrich W. Hehl, Volker Winkelmann, and John G. Zabolitzky. Computer Simulation and Computer Algebra. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-97174-7.

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Stauffer, Dietrich, Friedrich W. Hehl, Nobuyasu Ito, Volker Winkelmann, and John G. Zabolitzky. Computer Simulation and Computer Algebra. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78117-9.

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Allen, M. P. Computer simulation of liquids. Oxford [England]: Clarendon Press, 1989.

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W, Eastwood James, ed. Computer simulation using particles. Bristol [England]: A. Hilger, 1988.

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Capítulos de libros sobre el tema "Computer simulation"

1

Pound, Ronald. "Computer Simulation." In The Electronics Assembly Handbook, 537–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-13161-9_85.

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Roberson, Robert E., and Richard Schwertassek. "Computer Simulation." In Dynamics of Multibody Systems, 365–411. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-86464-3_14.

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Watson, John. "Computer Simulation." In Mastering Electronics, 158–63. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-14210-1_16.

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Greenwood, Nigel R. "Computer Simulation." In Implementing Flexible Manufacturing Systems, 139–57. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-07959-9_7.

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Shoji, Takeshi, and Nobuo Adachi. "Computer Simulation." In Advances in Total Hip Arthroplasty, 79–83. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2461-1_17.

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Kay, Steven M. "Computer Simulation." In Intuitive Probability and Random Processes Using MATLAB®, 13–36. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/0-387-24158-2_2.

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Dickinson, Eric, and D. Julian McClements. "Computer Simulation." In Advances in Food Colloids, 102–44. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1223-9_4.

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Mohan, Ram K., Andrew D. Short, Gillian Cambers, M. MacLeod, J. A. G. Cooper, David Hopley, Vincent May, et al. "Computer Simulation." In Encyclopedia of Coastal Science, 330. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3880-1_96.

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Toyota, Yasuhisa, Motoo Komoda, Daniel Beckmann, Marc Quiquerez, and Erik Bergal. "Computer Simulation." In Concert Halls by Nagata Acoustics, 297–98. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42450-3_38.

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KÜppers, Günter. "Computer Simulation: Practice, Epistemology, and Social Dynamics." In Simulation, 3–22. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-5375-4_1.

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Actas de conferencias sobre el tema "Computer simulation"

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Jobava, R., D. Karkashadze, P. Shubitidze, R. Zaridze, G. Bit-Babik, D. Pommerenke, and M. Aidam. "Computer Simulation of ESD." In 12th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility, 109–14. IEEE, 1997. https://doi.org/10.23919/emc.1997.10783826.

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Banerjee, G., and K. L. Vasanth. "Computer Simulation of Inhibitor Application - A Review." In CORROSION 1997, 1–6. NACE International, 1997. https://doi.org/10.5006/c1997-97330.

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Abstract The rapid development of powerful software as well as hardware in computer technology has changed the traditional approach to all areas of science and technology. In the field of corrosion inhibitors, computers are used to model, simulate, analyze and monitor inhibitor applications in both laboratory and industrial environments. This paper will present an up-to-date critical review of such simulation studies.

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Murphy, A. T., F. J. Young, H. R. Vandegriff, and J. P. Curilla. "ICONSIM: Computer Aided Interconnection Simulation." In 7th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility, 187–90. IEEE, 1987. https://doi.org/10.23919/emc.1987.10779045.

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Adey, Robert, and Ernesto Santana Diaz. "Improving Pipeline Integrity Using Computer Simulation." In CORROSION 2002, 1–18. NACE International, 2002. https://doi.org/10.5006/c2002-02070.

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Abstract Recent advances in computer modeling have enabled the condition of pipelines to be predicted using computer models that simulate the environment and the electrochemical processes on the metallic surfaces. Computers have also played an important role in the active monitoring of pipelines where the important parameters can be monitored in real time and alarm conditions rapidly identified. In spite of these advances current systems still require a frequent survey and inspection program. Another major issue to confront the pipeline engineer is interference. In an increasingly complex underground infrastructure, stray currents from other sources (such as parallel or crossing pipelines, industrial plants, or electric rail transit facilities) can come into contact with the underground steel structures. These stray currents not only reduce the ability to inhibit corrosion, but in some cases, reverse the CP (cathodic protection) process and accelerate corrosion in sections of the structure. Given these factors it becomes imperative that corrosion engineers are able to predict the interaction of underground electrical fields as part of the design process. The difficulty in making reliable estimates for cases where there is a complex interaction of underground electric fields can be overcome by using corrosion simulation software as a design tool. Not only can corrosion simulation software help with understanding complex corrosion behavior but it can also provide a rapid and economic assessment of CP system designs. In this paper the background and capabilities of computer simulation is described and its role in pipeline integrity management discussed. Applications will be presented covering the following issues: Automatic optimization of cathodic protection designs. For example given the basic layout of the pipeline system the optimum location and sizing of the anodes is predicted to achieve the required level of protectionPrediction of interference and assessment of proposed solutions.

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Garaliu-Busoi, Bogdan, Gabriel Vasilescu, Claudius Popescu, Claudia-Raluca Ilici, and Adina Pasculescu. "EVALUATION OF COMPUTER SIMULATION AND MODELING METHODS FOR BLASTING PROCESSES IN SURFACE MINES." In 24th SGEM International Multidisciplinary Scientific GeoConference 24, 277–86. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s03.37.

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The evaluation of computer simulation and modeling methods of pull processes carried out in open pit mines is a broad and complex topic, which involves the analysis and comparison of different techniques and tools used to simulate and model pull processes in quarries and open pit mines. The importance of computer simulation and modeling of recovery processes plays a crucial role in optimizing resource extraction, reducing costs, minimizing environmental impact, and ensuring worker safety. These technologies make it possible to predict the effects of different blasting strategies and choose the most effective approach. Evaluating simulation and modeling methods involves comparing their accuracy, efficiency, and applicability under different operating conditions. This includes: � Compare simulation results with observed data to gauge how close the simulations are to reality. � The balance between detail and accuracy of the model and the need for it to be simple enough to be used effectively. � Evaluate the resources required to run the simulations, including hardware costs and compute time. Finally, the evaluation of simulation and modeling methods is also based on their applicability in real projects. Case studies and best practice examples highlight how these technologies have been used to solve specific problems in mining operations, such as optimizing explosion design, reducing induced vibration, improving rock fragmentation, and minimizing environmental impact. Computer simulation and modeling of pull processes in open-pit mining operations are essential for optimizing mining operations. Evaluating and choosing the right method depends on several factors, including the type of mine, geological features, project objectives, and available resources.

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6

Chou, T. C., and F. W. Liou. "Computer Simulation of Three-Dimensional Mechanical Assemblies: Part II — Computer Simulation." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/cie1993-0071.

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Abstract Computer simulation of the kinematic and dynamic behaviors of mechanical assemblies has become a very important tool in design and manufacturing, because the designer can foresee how a product is going to perform before the product is actually fabricated. However, up to now, the most current simulation modules are based on analysis from another kinematic or dynamic module by specifying the mating conditions between components, and then displaying the motion on the screen. This computer simulation actually performs similarly to a movie, and can only provide visual checking. The drawback of this simulation approach is that designers are forced to use the available joint models, and may lose their creativity. In part I of this paper, general mathematical modeling of the multi-body system is presented, while part II of this paper, a prototype convex-feature modeling system is presented with which a designer can interactively create an assembly of mechanical components ready for dynamic analysis. It can provide a state-of-the-art technology for real simulation of any mechanical systems, and act as a cost-effective test bed for concepts, final design, and control algorithms.

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Magagnosc, David. "Simulation in computer organization." In the twenty-fifth SIGCSE symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/191029.191100.

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Rosa, L., and R. Tosato. "Pulsed Combustion Computer Simulation." In 22nd Intersociety Energy Conversion Engineering Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-9022.

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Kelton, W. David. "Designing computer simulation experiments." In the 20th conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/318123.318136.

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Ibbett, Roland N., J. C. Diaz y Carballo, and D. A. W. Dolman. "Computer architecture simulation models." In the 11th annual SIGCSE conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1140124.1140263.

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Informes sobre el tema "Computer simulation"

1

Xu, Ping. Computer simulation of martensitic transformations. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10114699.

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Комарова, Олена Володимирівна, and Альберт Армаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR Workshop Proceedings (CEUR-WS.org), 2018. http://dx.doi.org/10.31812/123456789/2695.

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Abstract. Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of the high school method of modelling genetic and evolutionary processes in populations, computer simulation. Results of the research: a web page for processing by the pupils of the modelling results of genetic and evolutionary processes in populations was created.

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Комарова, Олена Володимирівна, and Альберт Арамаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/2656.

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Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of the high school method of modelling genetic and evolutionary processes in populations, computer simulation. Results of the research: a web page for processing by the pupils of the modelling results of genetic and evolutionary processes in populations was created.

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4

Anderson, Wayne. Computer simulation of enzymes. Final report. Office of Scientific and Technical Information (OSTI), March 2002. http://dx.doi.org/10.2172/1174152.

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5

Neu, S. C., and G. J. Morales. Computer Simulation of the Diocotron Instability. Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/ada285655.

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Kettering, B., and P. Van Arsdall. Integrated computer control system startup simulation. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/8307.

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Kamegai, M. Computer simulation of underwater nuclear events. Office of Scientific and Technical Information (OSTI), September 1986. http://dx.doi.org/10.2172/5275001.

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8

Winant, Clinton D., and Bradley T. Werner. Computer Simulation of Underwater Sediment Transport. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada263605.

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9

Burchett, S. N., D. R. Frear, and M. M. Rashid. Computer simulation of solder joint failure. Office of Scientific and Technical Information (OSTI), April 1997. http://dx.doi.org/10.2172/477670.

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Boone, John M. Computer Simulation of Breast Cancer Screening. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada383107.

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