Готові списки джерел за темами / Mmodelling and numerical simulation

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Добірка наукової літератури з теми "Mmodelling and numerical simulation"

Автор: Grafiati
Опубліковано: 22 лютого 2025

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Статті в журналах з теми "Mmodelling and numerical simulation"

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JACIMOVIC, Nenad, Takashi HOSODA, Kiyoshi KISHIDA, and Marko IVETIC. "NUMERICAL SIMULATION OF CONTAMINANT NUMERICAL SIMULATION OF CONTAMINANT." PROCEEDINGS OF HYDRAULIC ENGINEERING 51 (2007): 13–18. http://dx.doi.org/10.2208/prohe.51.13.

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MIYAUCHI, Toshio. "Numerical Simulation of Combustion." Tetsu-to-Hagane 80, no. 12 (1994): 871–77. http://dx.doi.org/10.2355/tetsutohagane1955.80.12_871.

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Lima Júnior, Édio Pereira, Wendel Rodrigues Miranda, André Luiz Tenório Rezende, and Arnaldo Ferreira. "Numerical Simulation of Impact." International Journal of Innovative Research in Engineering & Management 5, no. 1 (January 2018): 24–29. http://dx.doi.org/10.21276/ijirem.2018.5.1.6.

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4

Sheshenin, S. V., and S. A. Margaryan. "TIRE 3D NUMERICAL SIMULATION." International Journal for Computational Civil and Structural Engineering 1, no. 1 (2005): 33–42. http://dx.doi.org/10.1615/intjcompcivstructeng.v1.i1.40.

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SHUTO, Nobuo. "Numerical simulation of Tsunamis." Doboku Gakkai Ronbunshu, no. 411 (1989): 13–23. http://dx.doi.org/10.2208/jscej.1989.411_13.

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Kanak, Katharine M., Jerry M. Straka, and David M. Schultz. "Numerical Simulation of Mammatus." Journal of the Atmospheric Sciences 65, no. 5 (May 1, 2008): 1606–21. http://dx.doi.org/10.1175/2007jas2469.1.

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Abstract Mammatus are hanging lobes on the underside of clouds. Although many different mechanisms have been proposed for their formation, none have been rigorously tested. In this study, three-dimensional numerical simulations of mammatus on a portion of a cumulonimbus cirruslike anvil are performed to explore some of the dynamic and microphysical factors that affect mammatus formation and evolution. Initial conditions for the simulations are derived from observed thermodynamic soundings. Five observed soundings are chosen—four were associated with visually observed mammatus and one was not. Initial microphysical conditions in the simulations are consistent with in situ observations of cumulonimbus anvil and mammatus. Mammatus form in the four model simulations initialized with the soundings for which mammatus were observed, whereas mammatus do not form in the model simulation initialized with the no-mammatus sounding. Characteristics of the modeled mammatus compare favorably to previously published mammatus observations. Three hypothesized formation mechanisms for mammatus are tested: cloud-base detrainment instability, fallout of hydrometeors from cloud base, and sublimation of ice hydrometeors below cloud base. For the parameters considered, cloud-base detrainment instability is a necessary, but not sufficient, condition for mammatus formation. Mammatus can form without fallout, but not without sublimation. All the observed soundings for which mammatus were observed feature a dry-adiabatic subcloud layer of varying depth with low relative humidity, which supports the importance of sublimation to mammatus formation.
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Isbăşoiu, Eliza Consuela. "Numerical Modeling and Simulation." Advanced Science Letters 19, no. 1 (January 1, 2013): 166–69. http://dx.doi.org/10.1166/asl.2013.4663.

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UEMATSU, Takahiko. "Numerical simulation of snowdrift." Journal of the Japanese Society of Snow and Ice 54, no. 3 (1992): 287–89. http://dx.doi.org/10.5331/seppyo.54.287.

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Joly, Patrick, Leïla Rhaouti, and Antoine Chaigne. "Numerical simulation of timpani." Journal of the Acoustical Society of America 105, no. 2 (February 1999): 1125. http://dx.doi.org/10.1121/1.425250.

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Dupuy, Thomas, and Chainarong Srikunwong. "Resistance Welding Numerical Simulation." Revue Européenne des Éléments Finis 13, no. 3-4 (January 2004): 313–41. http://dx.doi.org/10.3166/reef.13.313-341.

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Дисертації з теми "Mmodelling and numerical simulation"

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Pannetier, Valentin. "Simulations numériques standardisées de dispositifs de stimulation électrique cardiaque." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0352.

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Les maladies cardiovasculaires représentent la principale cause de mortalité dans le monde, responsables d’environ 32% des décès en 2019 selon l’Organisation mondiale de la santé (OMS). Face à ces pathologies, la recherche médicale progresse continuellement pour développer des traitements et des dispositifs toujours plus performants. Parmi ces innovations, les stimulateurs cardiaques implantables jouent un rôle crucial dans le traitement des troubles du rythme cardiaque, en intervenant directement sur le cœur en cas de dysfonctionnement. Cependant, malgré leur importance, le développement de ces technologies reste lent et coûteux. Il faut souvent près d’une décennie entre la conception d’un prototype et sa mise sur le marché, ce qui retarde leur impact sur les vies humaines. Cette thèse s’inscrit dans le cadre du projet européen collaboratif SimCardioTest (EU H2020), dont l’objectif est d’accélérer l’adoption d’outils numériques pour la certification de médicaments et de dispositifs médicaux, tels que les stimulateurs cardiaques implantables. L’un des objectifs principaux du projet est d’intégrer les simulations numériques sous la forme d’essais cliniques in silico dans le processus de certification, afin de rendre ce dernier plus rapide à l’aide d’une plateforme web standardisée. Au cours de cette thèse, plusieurs modèles mathématiques ont été développés et analysés, allant de modèles génériques tridimensionnels à des modèles simplifiés sans dimension spatiale. Tous ces modèles comprennent un circuit électrique inspiré d’un stimulateur cardiaque commercial, des modèles de contacts reproduisant les couches ioniques à la surface des électrodes sous forme de circuits électriques équivalents, ainsi que des modèles de tissu cardiaque avec ou sans propagation spatiale de potentiels d’action cardiaque. La crédibilité de ces modèles est évaluée par des comparaisons avec des expérimentations animales menées durant la thèse, dans le but de démontrer leur capacité à reproduire des stimulations cardiaques réalistes. Ces comparaisons reposent principalement sur les tensions mesurées par les stimulateurs cardiaques et sur l’étude des courbes de seuil, aussi appelées courbes de Lapicque. Ces courbes, largement utilisées en clinique pour ajuster les stimulateurs, établissent la relation entre la durée et l’amplitude de la stimulation nécessaires pour provoquer une contraction cardiaque efficace. Elles permettent en particulier d’optimiser, en personnalisant individuellement, les réglages des stimulateurs, et ainsi de minimiser la consommation d’énergie, maximiser la durée de vie du dispositif, et ainsi améliorer le confort de vie des patients. L’adoption de modèles simplifiés sans dimension constitue une étape stratégique importante de cette thèse. Contrairement aux modèles spatiaux, très coûteux à résoudre numériquement, ces modèles sont plus simples à résoudre et ils ont permis de réaliser plusieurs études paramétriques, notamment pour effectuer une calibration à partir des données expérimentales. Des études supplémentaires de sensibilité, locales et globales, ont également été menées afin d’analyser l’influence et la pertinence des paramètres dans les modèles développés
Cardiovascular diseases are the world’s leading cause of death, responsible for around 32% of all deaths in 2019, according to the World Health Organization (WHO). Faced with these pathologies, medical research is making constant progress to develop ever more effective treatments and devices. Among these innovations, implantable pacemakers play a crucial role in the treatment of cardiac rhythm disorders, intervening directly on the heart in the event of malfunction. Despite, despite their importance, the development of these technologies remains slow and costly. It often takes almost a decade from early prototyping to market launch, delaying their impact on human lives. This thesis is part of the European collaborative project SimCardioTest (EU H2020), which aims to accelerate the adoption of numerical tools for the certification of drugs and medical devices, such as implantable pacemakers. One of the main goals of the project is to integrate numerical simulations in the form of in silico clinical trials on a standardized web plateform in oirder to speed up thecertification process. During of this thesis, several mathematical models were developed and analyzed, ranging from generic three-dimensional models to simplified models with no spatial dimension. All these models include a electrical circuit inspired by a commercial pacemaker, contact models representing the ionic layers on electrode surfaces as equivalent electrical circuits, and cardiac tissue models with or without spatial propagation of cardiac action potentials. The credibility of these models is assessed through comparisons with animal experiments conducted during the thesis, with the aim of demonstrating their ability to reproduce realistic cardiac stimulations. These comparisons are based mainly on the voltages measured by pacemakers and on the study of threshold curves, also known as Lapicque curves. These curves, widely used clinically to adjust pacemakers, establish the relationship between stimulation duration and amplitude required to induce an effective cardiac contraction. In particular, they enable pacemaker settings to be optimized through individual customization, thereby minimizing energy consumption, maximizing device life, and therefore improving patient’s life quality. The adoption of simplified dimensionless models is an valuable strategic step in this thesis. Unlike spatial models, which are very costly to solve numerically, these models are simpler to solve and have enabled several parametric studies to be carried out, in particular to perform calibration using experimental data. Additional sensitivity studies, both local and global, were also carried out to analyze the influence and relevance of the parameters in the developed models
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Amphlett, Jonathan Lee. "Numerical simulation of microelectrodes." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341628.

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Evensberget, Dag Frohde. "Numerical Simulation of Nonholonomic Dynamics." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9484.

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We study the numerical integration of nonholonomic problems. The problems are formulated using Lagrangian and Hamiltonian mechanics. We review briefly the theoretical concepts used in geometric mechanics. We reconstruct two nonholonomic variational integrators from the monograph of Monforte. We also construct two one-step integrators based on a combination of the continuous Legendre transform and the discrete Legendre transform from an article by Marsden and West. Inintially these integrators display promising behavior, but they turn out to be unstable. The variational integrators are compared with a classical Runge-Kutta method. We compare the methods on three nonholonomic systems: The nonholonomic particle from the monograph of Monforte, the nonholonomic system of particles from an article by McLachlan and Perlmutter, and a variation of the Chaplygin sleigh from Bloch.

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Uddholm, Per. "Numerical Simulation of Flame Propagation." Thesis, Uppsala University, Department of Information Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-98325.

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The effects of the temperature and length, of the preheat zone, on the deflagration to detonation transition are investigated through numerical simulation. The Navier-Stokes equations, with a reaction term, are solved in one dimension. The time integration is a one-dimensional adaptation of an existing two-dimensional finite volume method code. An iterative scheme, based on an overlap integral, is developed for the determination of the deflagration to detonation transition. The code is tested in a number of cases, where the analytical solution (to the Euler equations) is known. The location of the deflagration to detonation transition is displayed graphically through the preheat zone temperature as a function of the fuel mixture temperature, for fixed exhaust gas temperature and with the preheat zone length as a parameter. The evolution of the deflagration to detonation transition is investigated for an initial state well within the regime where the deflagration to detonation transition occurs. Graphs displaying the temporal evolution of pressure, temperature, reaction rate, and fuel mass fraction are presented. Finally, a method for estimating the flame velocity during the deflagration and detonation phases, as well as the flame acceleration during the intermediate phase, is developed.

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Karaismail, Ertan. "Numerical Simulation Of Radiating Flows." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606452/index.pdf.

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Predictive accuracy of the previously developed coupled code for the solution of the time-dependent Navier-Stokes equations in conjunction with the radiative transfer equation was first assessed by applying it to the prediction of thermally radiating, hydrodynamically developed laminar pipe flow for which the numerical solution had been reported in the literature. The effect of radiation on flow and temperature fields was demonstrated for different values of conduction to radiation ratio. It was found that the steady-state temperature predictions of the code agree well with the benchmark solution. In an attempt to test the predictive accuracy of the coupled code for turbulent radiating flows, it was applied to fully developed turbulent flow of a hot gas through a relatively cold pipe and the results were compared with the numerical solution available in the literature. The code was found to mimic the reported steady-state temperature profiles well. Having validated the predictive accuracy of the coupled code for steady, laminar/turbulent, radiating pipe flows, the performance of the code for transient radiating flows was tested by applying it to a test problem involving laminar/turbulent flow of carbon dioxide through a circular pipe for the simulation of simultaneous hydrodynamic and thermal development. The transient solutions for temperature, velocity and radiative energy source term fields were found to demonstrate the physically expected trends. In order to improve the performance of the code, a parallel algorithm of the code was developed and tested against sequential code for speed up and efficiency. It was found that the same results are obtained with a reasonably high speed-up and efficiency.
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Riljak, Stanislav. "Numerical simulation of shape rolling." Licentiate thesis, Stockholm, 2006. http://www.diva-portal.org/kth/theses/abstract.xsql?dbid=3963.

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Alhajraf, Salem. "Numerical simulation of drifting sand." Thesis, Cranfield University, 2000. http://hdl.handle.net/1826/3502.

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Two-phase flows are involved in many industrial and natural flow phenomena varying from as specific as the transport of crude oil in pipelines to as general as the dispersion of pollutants in the atmosphere. Numerical modelling based on Computational Fluid Dynamics (CFD), has attracted the attention of scientists and engineers from a wide range of backgrounds over recent decades during which these models have been extensively developed, analysed and applied to many practical applications. Wind blown particles such as sand or snow and their resulting accumulation around buildings, roads, oil field installations and security fences causes severe structural and design problems. These are traditionally addressed based on previous experience, full-scale field investigation or using scale model wind tunnel experiments, all of which incur high cost. In this study, wind blown particles are considered as a two-phase flow system. A finite volume based CFD code is developed using two-phase flow theory and is employed to numerically simulate the drifting of sand and snow around obstacles of different geometry. The model solves the governing transport equations in three dimensional space. Three different approaches are investigated to represent and solve the secondary flow phase, particles, within the flow field; a particle tracking model, based on a Lagrangian reference frame and the homogenous and the mixture models, based on an Eulerian reference frame. The capabilities and limitations of each of these models are investigated for flow fields involving drifting particles around obstacles of different geometry. Particles transported by wind both in suspension and saltation are modelled based on the physical characteristic and the threshold condition of the particle. Their effect on the flow field is incorporated through separate source terms contributing to the particle transport equation. The Eulerian based models are coupled with the Fractional Area/Volume Obstacle Representation (FAVOR) as a mean of representing the solid boundary formed by deposited particles separating the flow field from the accumulation zones. The FAVOR treatment allows the flow field to respond to the changes in the geometry of the deposition regions and further calculations take into account the erosion and deposition processes that have previously occurred. The model can be calibrated to match specific flow conditions through several controlling parameters. These controlling parameters are identified and analysed for four distinct case studies. Model results are compared with field and wind tunnel observations available in the literature and with field measurements conducted as a part of this study in the desert of the State of Kuwait. Qualitatively good agreement between the model and the observations is obtained in two as well as three dimensions. Although the mixture and particle tracking models show the potential capability to simulate such flow systems, the homogenous model is found to be the most appropriate model due to its relative simplicity compared to the mixture model and its lower computational cost compared to the Lagrangian particle-tracking model. In conclusion, a practical CFD tool has been developed and validated, incorporating novel physical and numerical models. The tool can be utilised by scientists and engineers to further understand the real world problem of drifting sand and snow in urban and industrial environments.
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Matallah, H. "Numerical simulation of viscoelastic flows." Thesis, Swansea University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.638026.

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In this thesis, consideration is given to two-dimensional isothermal incompressible flows of rheological complex materials. An introduction is provided on the background rheology and numerical schemes. A time stepping procedure is employed to solve steady state relevant partial differential equations, and in particular the equations of momentum, continuity and the Oldroyd-B constitutive equations. A Petrov Galerkin pressure correction method is used as the base finite element scheme. Model flows, considered as smooth and having analytical solutions are tested for accuracy. In contrast, complex benchmark problems, which may be smooth but with sharp velocity gradients, or alternatively non-smooth, are also solved to test stability and to contrast the quality of results against those in the literature. Despite the considerable effort devoted to establish sophisticated numerical methods to solve highly elastic complex flows of polymeric materials, the simulation of viscoelastic flows through complex geometries remains a challenge. One method that has found favour recently is the elastic-stress-splitting (EVSS) method. There are two features associated with this method, stress-splitting and recovery of velocity gradients. In this thesis, recovery and stress-splitting schemes for plane and axi-symmetric flows of non-Newtonian fluids are presented. Accuracy, stability and numerical performance issues are addressed for different schemes. It is established that recovery-based schemes are stable and superior in higher Deborah number attenuation over conventional and EVSS alternatives. Hence, it is shown that it is the recovery aspect that is responsible for improved stability behaviour. In this context, a 4:1 plane contraction and the flow past a cylinder in an infinite domain are used to analyse vortex activities for Newtonian and viscoelastic flows. Mesh convergence is also analysed.
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Jiang, Long. "Numerical simulation of urban flooding." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504497.

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Kovacs, Endre. "Numerical simulation of magnetic nanoparticles." Thesis, Loughborough University, 2005. https://dspace.lboro.ac.uk/2134/7742.

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We solved the Landau-Lifshitz equations numerically to examine the time development of a system of magnetic particles. Constant or periodical external magnetic field has been applied. First, the system has been studied without dissipation. Local energy excitations (breathers) and chaotic transients have been found. The behaviour of the system and the final configurations can strongly depend on the initial conditions, and the strength of the external field at an earlier time. We observed some sudden switching between two remarkably different states. Series of bifurcations have been found. When a weak Gilbert-damping has been taken into account, interesting behaviour has been found even in the case of one particle as well: bifurcation series and period multiplication leading to chaos. For a system of antiferromagnetically coupled particles, highly nontrivial hysteresis loops have been produced. The dynamics of the magnetization reversal has been investigated and the characteristic time-scale of the reversal has been estimated. For more particles, the energy spectrum and the magnetization of the system exhibits fractal characteristics for increasing system size. Finally, energy have been pumped into the system in addition to the dissipation. For constant field, complicated phase diagrams have been produced. For microwave field, it has been found that the chaotic behaviour crucially depends on the parity of the number of the particles.
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Книги з теми "Mmodelling and numerical simulation"

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Choobbasti, A. Janalizadeh. Numerical simulation of liquefaction. Manchester: UMIST, 1997.

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2

Hirschel, Ernst Heinrich, ed. Numerical Flow Simulation II. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-540-44567-8.

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Hirschel, Ernst Heinrich, ed. Numerical Flow Simulation III. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45693-3.

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Han, Xu, and Jie Liu. Numerical Simulation-based Design. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-3090-1.

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Beer, Gernot, ed. Numerical Simulation in Tunnelling. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-6099-2.

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Urban, Karsten. Wavelets in Numerical Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56002-6.

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Hirschel, Ernst Heinrich, ed. Numerical Flow Simulation I. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-540-44437-4.

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Dnestrovskii, Yuri N., and Dimitri P. Kostomarov. Numerical Simulation of Plasmas. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82592-7.

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Hirschel, Ernst Heinrich, ed. Numerical Flow Simulation I. Wiesbaden: Vieweg+Teubner Verlag, 1998. http://dx.doi.org/10.1007/978-3-663-10916-7.

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P, Colombo Simone, and Rizzo Christian L, eds. Numerical simulation research progress. New York: Nova Science Publishers, 2008.

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Частини книг з теми "Mmodelling and numerical simulation"

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Li, Tatsien, Yongji Tan, Zhijie Cai, Wei Chen, and Jingnong Wang. "Numerical Simulation." In SpringerBriefs in Mathematics, 47–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41425-1_5.

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Baniotopoulos, C. C. "Numerical Simulation." In Semi-Rigid Joints in Structural Steelwork, 289–347. Vienna: Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-2478-9_5.

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Gross, Dietmar, Werner Hauger, Jörg Schröder, Wolfgang A. Wall, and Sanjay Govindjee. "Numerical Simulation." In Engineering Mechanics 3, 317–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-14019-8_7.

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Enns, Richard H., and George C. McGuire. "Numerical Simulation." In Nonlinear Physics with Mathematica for Scientists and Engineers, 451–90. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-1-4612-0211-0_11.

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Antipov, Sergey A. "Numerical Simulation." In Fast Transverse Beam Instability Caused by Electron Cloud Trapped in Combined Function Magnets, 51–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02408-6_4.

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Gross, Dietmar, Werner Hauger, Jörg Schröder, Wolfgang A. Wall, and Sanjay Govindjee. "Numerical Simulation." In Engineering Mechanics 3, 323–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53712-7_7.

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Enns, Richard H., and George McGuire. "Numerical Simulation." In Nonlinear Physics with Maple for Scientists and Engineers, 317–44. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4684-0032-8_10.

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Azevedo, António C., Fernando A. N. Silva, João M. P. Q. Delgado, and Isaque Lira. "Numerical Simulation." In Concrete Structures Deteriorated by Delayed Ettringite Formation and Alkali-Silica Reactions, 45–57. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12267-5_5.

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Akhavan-Safar, Alireza, Eduardo A. S. Marques, Ricardo J. C. Carbas, and Lucas F. M. da Silva. "Numerical Simulation." In Cohesive Zone Modelling for Fatigue Life Analysis of Adhesive Joints, 67–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93142-1_4.

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Enns, Richard H., and George C. McGuire. "Numerical Simulation." In Nonlinear Physics with Maple for Scientists and Engineers, 437–72. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1322-2_11.

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Тези доповідей конференцій з теми "Mmodelling and numerical simulation"

1

Cenedese, Antonio, P. Monti, and M. Sallusti. "PIV: a numerical simulation." In Laser Anemometry: Advances and Applications--Fifth International Conference, edited by J. M. Bessem, R. Booij, H. W. H. E. Godefroy, P. J. de Groot, K. K. Prasad, F. F. M. de Mul, and E. J. Nijhof. SPIE, 1993. http://dx.doi.org/10.1117/12.150542.

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2

"Theoretical investigation, numerical simulation." In 2008 4th International Conference on Ultrawideband and Ultrashort Impulse Signals. IEEE, 2008. http://dx.doi.org/10.1109/uwbus.2008.4669401.

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"Theoretical investigation, numerical simulation." In 2016 8th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE, 2016. http://dx.doi.org/10.1109/uwbusis.2016.7724150.

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4

Franke, H. G., A. Olmes, E. Bansch, H. Lubatschowski, G. Dziuk, and W. Ertmer. "Numerical Simulation of Infrared-Photoablation." In Proceedings of European Meeting on Lasers and Electro-Optics. IEEE, 1996. http://dx.doi.org/10.1109/cleoe.1996.562500.

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5

Salcudean, Martha Eva, and Z. Abdullah. "NUMERICAL SIMULATION OF CASTING PROCESSES." In International Heat Transfer Conference 8. Connecticut: Begellhouse, 1986. http://dx.doi.org/10.1615/ihtc8.3660.

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Gong Wei, Li Ruo, Yan Ningning, and Zhao Weibo. "Numerical simulation of bioluminescence tomography." In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605159.

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Hashim, Uda, P. N. A. Diyana, and Tijjani Adam. "Numerical simulation of Microfluidic devices." In 2012 10th IEEE International Conference on Semiconductor Electronics (ICSE). IEEE, 2012. http://dx.doi.org/10.1109/smelec.2012.6417083.

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Mahajerin, Enayat, and Gary J. Burgess. "Numerical Simulation of Truck Transportation." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62358.

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Анотація:
Mathematical modeling and numerical simulation of truck transportation involve random vibration which requires statistical and spectrum analysis. To simulate truck transportation, the motion of a truck trailer is first recorded by mounting accelerometers on the floor of the trailer or on the framework of beams that support it. The floor accelerations in the vertical direction are sampled at regular intervals over the route that is to be simulated. This information is used to create a power spectral density plot (PSD) which contains frequency and amplitude information. The PSD plot is used to drive a vibration table with the product on it following the ASTM D4728 standard test guideline. To operate the table, we generate an acceleration input from the known PSD plot. We can also investigate the response of a product on the table by modeling the product as a mass-spring-damper system with known natural frequency and damping ratio. With the help of fatigue tools the results can be used in the damage assessment of the product during the truck ride.
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Tech, Tomás Wayhs, Ignacio Iturrioz, and Agenor Dias de Meira Júnior. "Numerical Simulation of Bus Rollover." In SAE Brasil 2007 Congress and Exhibit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-2718.

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Babu, D. K., A. S. Odeh, A. J. Al-Khalifa, and R. C. McCann. "Numerical Simulation of Horizontal Wells." In Middle East Oil Show. Society of Petroleum Engineers, 1991. http://dx.doi.org/10.2118/21425-ms.

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Звіти організацій з теми "Mmodelling and numerical simulation"

1

Wu, Yanlin, and R. B. White. Numerical simulation of Bootstrap Current. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10160602.

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Wu, Yanlin, and R. B. White. Numerical simulation of Bootstrap Current. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/6484029.

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Zeda, Jason D. Numerical Simulation of Evaporating Capillary Jets. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada367314.

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Agarwal, Ramesh K., and Ramesh Balakrishnan. Numerical Simulation of BGK-Burnett Equations. Fort Belvoir, VA: Defense Technical Information Center, August 1996. http://dx.doi.org/10.21236/ada326201.

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Coffey, K. A., and P. A. Gremaud. Numerical Simulation of Aerated Powder Consolidation. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada392913.

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Feng, Zhigang, Jianjun Miao, Adrian Peralta-Alva, and Manuel S. Santos. Numerical Simulation of Nonoptimal Dynamic Equilibrium Models. Federal Reserve Bank of St. Louis, 2009. http://dx.doi.org/10.20955/wp.2009.018.

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H. N. Najm. MPP Direct Numerical Simulation of Diesel Autoignition. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/791301.

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Ueyoshi, Kyozo, J. O. Roads, and J. Alpert. A numerical simulation of the Catalina Eddy. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10194723.

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Odstroil, Dusan. Numerical Simulation of Heliospheric Transients Approaching Geospace. Fort Belvoir, VA: Defense Technical Information Center, December 2009. http://dx.doi.org/10.21236/ada530898.

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Pena, Jeremy R. Numerical Simulation Of Cratering Effects In Adobe. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ad1003791.

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