Dissertations / Theses: 'Simulation methods'

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Azhar, Mueed [Verfasser], and Jan G. [Akademischer Betreuer] Korvink. "Simulation of NMR experiments using particle simulation methods." Freiburg : Universität, 2018. http://d-nb.info/1155722485/34.

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Mauron, Laurent. "Pedestrians simulation methods Diploma thesis /." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, [Department of Computer Science, Simulation Group], 2002. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=136.

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Bekker, Hendrik. "Molecular dynamics simulation methods revised." [Groningen] : [Groningen] : Rijksuniversiteit Groningen ; [University Library Groningen] [Host], 1996. http://irs.ub.rug.nl/ppn/14860532X.

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Low, Hamish Wallace. "Simulation methods and economic analysis." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392495.

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Vidal-Codina, Ferran. "Simulation methods for plasmonic structures." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112460.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 129-148).
In the recent years there has been a growing interest in studying electromagnetic wave propagation at the nanoscale. The interaction of light with metallic nanostructures produces a collective excitation of conduction electrons at the metal surface, also known as surface plasmons. These plasmonic resonances enable an unprecedented control of light by confining the electromagnetic field to regions well beyond the diffraction limit, thereby leading to nearfield enhancements of the incident wave of several orders of magnitude. These remarkable properties have motivated the application of plasmonic devices in sensing, nano-resolution imaging, energy harvesting, nanoscale electronics and cancer treatment. Despite state-of-the-art nanofabrication techniques are used to realize plasmonic devices, their performance is severely impacted by fabrication uncertainties arising from extreme manufacturing constraints. Mathematical modeling and numerical simulation are therefore essential to accurately predict the response of the physical system, and must be incorporated in the design process. Nonetheless, plasmonic simulations present notable challenges. From the physical perspective, the realistic behavior of conduction electrons in metallic nanostructures is not captured by Maxwell's equations, thus requiring additional modeling. From the simulation perspective, the disparity in length scales stemming from the extreme field localization exceeds the capabilities of most numerical simulation schemes. In addition, relevant data such as optical constants or geometry specifications are typically subject to measurement and manufacturing errors, hence simulations need to accommodate uncertainty in the data. In this thesis we present a collection of numerical methods to efficiently simulate electromagnetic wave propagation through metallic nanostructures. Firstly, we develop the hybridizable discontinuous Galerkin (HDG) method for Maxwell's equations augmented with the hydrodynamic model for metals, which accounts for the nonlocal interactions between electrons that become predominant at nanometric regimes. Secondly, we develop a reduced order modeling (ROM) framework for Maxwell's equations with the HDG method, enabling the incorporation of material and geometric uncertainties in the simulations. The result is a family of surrogate models that produces accurate yet inexpensive simulations of plasmonic devices. Finally, we apply these approaches to the study of periodic annular nanogaps, and present parametric analyses, verification with experimental data and design of novel structures.
by Ferran Vidal-Codina.
Ph. D.

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Fithen, Robert Miller. "Adaptive finite element simulation of incompressible viscous flow." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-170423/.

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Isaksson, Erik. "Simulation methods for bumper system development." Licentiate thesis, Luleå : Luleå tekniska universitet/Tillämpad fysik, maskin- och materialteknik/Hållfasthetslära, 2006. http://epubl.ltu.se/1402-1757/2006/55/LTU-LIC-0655-SE.pdf.

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Homem, de Mello Tito. "Simulation-based methods for stochastic optimization." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/24846.

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Denison, David George Taylor. "Simulation based Bayesian nonparametric regression methods." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266105.

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Sturdy, Yvette Katherine. "Molecular simulation with path integral methods." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436950.

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Dai, Hongsheng. "Perfect simulation methods for Bayesian applications." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444907.

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Kirkland, Mark. "Simulation methods for Markov random fields." Thesis, University of Strathclyde, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278512.

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Taylor, Richard David. "Novel simulation methods for flexible docking." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368873.

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Quirynen, Rien [Verfasser], and Moritz [Akademischer Betreuer] Diehl. "Numerical simulation methods for embedded optimization." Freiburg : Universität, 2017. http://d-nb.info/112590626X/34.

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Mabogo, Mbavhalelo. "Development of techniques using finite element and meshless methods for the simulation of piercing." Thesis, [S.l. : s.n.], 2009. http://dk.cput.ac.za/cgi/viewcontent.cgi?article=1056&context=td_cput.

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Mansour, Nabil S. "Inclusion of electron-plasmon interactions in ensemble Monte Carlo simulations of degerate GaAs." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/13862.

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DeVore, Scott Lawrence. "Simulation methods for optical disk drive functions." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184474.

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Computer simulations of the optical servo functions of optical disk drives are developed and compared with experimental results. The focus control servo is investigated first, with emphasis on the astigmatic focus detection method. A paraxial ray trace, enhanced to allow tolerance studies of tilted and decentered surfaces, is used to calculate the size and orientation of an astigmatic blur on a quadrant photodetector as a function of focus error. The resulting irradiance distribution is integrated over the detector elements and processed to yield typical focus servo signals. A method for simulating generalized astigmatic focus systems, independent of a particular design, is also shown. The simulation results are used to derive normalized tolerance curves for detector misalignment and spot motion. Alignment diagnostics based on the servo signals are also presented. A wavefront aberration model is also developed and used to investigate the focus servo's performance in the presence of common aberrations. Simulations based on diffraction theory are used to investigate the radial tracking servo. Both scalar and vector diffraction theories are considered. The scalar theory is found to be adequate in most cases, while offering a large advantage in computational efficiency. A model for computing the signals detected by scanning the microscopic features of the disk is developed using the optical cross transfer function that describes the imaging characteristics of partially coherent systems. This model is used to investigate push-pull and three beam tracking. Aberrations, data patterns, detector misalignment, and pregroove profile are all examined for their effects on the servo signals. Crosstalk between the focus and tracking error detection is also briefly considered, and a possible extension of the radial tracking servo model to investigate this phenomenon is suggested.

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Fozzard, Gary James Walter. "Simulation of clothing manufacture." Thesis, Manchester Metropolitan University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329525.

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There is considerable pressure on the U.K. clothing industry to remain competitive in the face of foreign competition. Market forces and the trend of decreasing contract sizes have produced perceived problems with current methods of production which, coupled with the inertia to radical change, justify research. Computer simulation is an established production management tool but its potential in clothing manufacture could not be inferred. Concentrating on progressive bundle systems as the dominant method of production, this research considers the capacity of simulation in this context. Factory-based studies identified factors affecting system performance which allowed a conceptual model with high face validity to be defined. The requirement to handle complex supervisory control strategies led to the identification of visual interactive simulation as an experimental route. A computerised model, with an appropriate user interface and reporting facilities, was developed in the ~Siman si@ulat~£~~Dguage __ This was supported by animated graphics which played a substantial role in the attainment of face validity. Replication was considered to be essential for sound estimates of system performance to be obtained from this stochastic model but, as interactive control works against replication, steps were taken to reduce compromise. Software development facilitated an experimental technique that employed interaction to develop a control strategy, which then became embedded in the model for replication. By providing control consistency between replications, a more reliable assessment of system sensitivity to stochastic variability was possible. Pilot runs and single factor analysis enabled the effect of controllable factors on system performance to be quantified. Supervisory control was found to have a major effect on system performance so that the need for consistency in interaction was amplified. Considering alternative experimental methods and the practical use of the model, application areas for simulation in the absence of real time data capture were identified and demonstrated. Each application offered significant advantage over currently available planning methods and the use of simulation was supported. Information from the model can be gained about the design and control of progressive bundle lines at the pre-production phase, and the output of performance indicators can be useful in assessing real production lines. The evidence presented by this research illustrates that animated simulation can provide insight that is otherwise unobtainable.

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Weathers, Jeremy M. "Methods for quantum circuit design and simulation." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Mar/10Mar%5FWeathers.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, March 2010.
Thesis Advisor(s): Huffmire, Ted. Second Reader: Luscomb, James. "March 2010." Description based on title screen as viewed on April 26, 2010. Includes bibliographical references (p. 101-104). Also available in print.

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Maier, Sebastian. "Biproportional apportionment methods : constraints, algorithms, and simulation /." München : Verl. Dr. Hut, 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017317892&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Prudius, Andrei A. "Adaptive Random Search Methods for Simulation Optimization." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16318.

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This thesis is concerned with identifying the best decision among a set of possible decisions in the presence of uncertainty. We are primarily interested in situations where the objective function value at any feasible solution needs to be estimated, for example via a ``black-box' simulation procedure. We develop adaptive random search methods for solving such simulation optimization problems. The methods are adaptive in the sense that they use information gathered during previous iterations to decide how simulation effort is expended in the current iteration. We consider random search because such methods assume very little about the structure of the underlying problem, and hence can be applied to solve complex simulation optimization problems with little expertise required from an end-user. Consequently, such methods are suitable for inclusion in simulation software. We first identify desirable features that algorithms for discrete simulation optimization need to possess to exhibit attractive empirical performance. Our approach emphasizes maintaining an appropriate balance between exploration, exploitation, and estimation. We also present two new and almost surely convergent random search methods that possess these desirable features and demonstrate their empirical attractiveness. Second, we develop two frameworks for designing adaptive and almost surely convergent random search methods for discrete simulation optimization. Our frameworks involve averaging, in that all decisions that require estimates of the objective function values at various feasible solutions are based on the averages of all observations collected at these solutions so far. We present two new and almost surely convergent variants of simulated annealing and demonstrate the empirical effectiveness of averaging and adaptivity in the context of simulated annealing. Finally, we present three random search methods for solving simulation optimization problems with uncountable feasible regions. One of the approaches is adaptive, while the other two are based on pure random search. We provide conditions under which the three methods are convergent, both in probability and almost surely. Lastly, we include a computational study that demonstrates the effectiveness of the methods when compared to some other approaches available in the literature.

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Kaila, Vivek. "Aeroelastic simulation of aircraft using meshless methods." Diss., Connect to online resource, 2005. http://wwwlib.umi.com/cr/colorado/fullcit?p1430189.

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Wood, Kenneth Robert. "Parallel logic simulation and applied formal methods." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315774.

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Liu, Zhen. "Direct Simulation Methods for Multiple Changepoint Problems." Thesis, Lancaster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515035.

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Leitao, Maria Teresa Catarino. "Simulation-based methods for time series diagnostics." Thesis, London School of Economics and Political Science (University of London), 2004. http://etheses.lse.ac.uk/2299/.

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We present sampling-based methodologies for the estimation of structural time series in the presence of outliers and structural shifts. We start by considering a simple structural model: a local level model, in the presence of outliers and level shifts. The existence of shocks is accounted for by including a product of intervention variables in the measurement and transition equations. These factors are composed of the product of an indicator variable and a parameter for the magnitude of the intervention variable, defining the size of the shocks. The Gibbs sampler is the Markov chain Monte Carlo method used for estimating the intervention model. Our contribution is in the use of a uniform prior distribution for the size of intervention variables. We show that this choice provides advantages over the usual multinomial and normal prior assumptions. The methodology is extended to a basic structural model. Using this model formulation, we consider 4 types of shocks: outliers, level, slope and seasonal shifts. The use of simulation based methods for this range of different breaks in structural models is not dealt with in the existing literature. By using the Gibbs sampler, we simultaneously estimate all the hyperparameters, detect the position of the shocks and estimate their size. Finally, we consider the local level model in the presence of outliers and level shifts for the case where one of the hyperparameters is equal to zero. In this situation, simulation based methods usually assume a multinomial prior distribution for the size of the intervention variables. We use a uniform prior, and present a two stages sampling scheme. In this two stage process the Gibbs sampler is first run on an auxiliary data set which has the same shocks as the original data set. For all the methods presented, performance is assessed by Monte Carlo studies and empirical applications to real data sets.

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Minoukadeh, Kimiya. "Deterministic and stochastic methods for molecular simulation." Phd thesis, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00597694.

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Molecular simulation is an essential tool in understanding complex chemical and biochemical processes as real-life experiments prove increasingly costly or infeasible in practice . This thesis is devoted to methodological aspects of molecular simulation, with a particular focus on computing transition paths and their associated free energy profiles. The first part is dedicated to computational methods for reaction path and transition state searches on a potential energy surface. In Chapter 3 we propose an improvement to a widely-used transition state search method, the Activation Relaxation Technique (ART). We also present a local convergence study of a prototypical algorithm. The second part is dedicated to free energy computations. We focus in particular on an adaptive importance sampling technique, the Adaptive Biasing Force (ABF) method. The first contribution to this field, presented in Chapter 5, consists in showing the applicability to a large molecular system of a new parallel implementation, named multiple-walker ABF (MW-ABF). Numerical experiments demonstrated the robustness of MW-ABF against artefacts arising due to poorly chosen or oversimplified reaction coordinates. These numerical findings inspired a new study of the longtime convergence of the ABF method, as presented in Chapter 6. By studying a slightly modified model, we back our numerical results by showing a faster theoretical rate of convergence of ABF than was previously shown

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Amiss, Julie E. "Bayes factors : comparisons, simulation methods and influence." Thesis, University of Surrey, 1996. http://epubs.surrey.ac.uk/1014/.

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Jones, Richard Graham. "Numerical methods for problems in reservoir simulation." Thesis, Imperial College London, 1989. http://hdl.handle.net/10044/1/47493.

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Lloyd, Jennifer A. "Numerical methods for Monte Carlo device simulation." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12766.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.
Includes bibliographical references (leaves 51-53).
by Jennifer Anne Lloyd.
M.S.

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Mitchell, Felicity. "Modelling protein flexibility using molecular simulation methods." Thesis, University of Manchester, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525167.

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Yakutovich, Mikhail. "Mesh-free methods for liquid crystal simulation." Thesis, Sheffield Hallam University, 2009. http://shura.shu.ac.uk/20580/.

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The key aim of this Thesis is the development and implementation of a set of simulation techniques for LCs capable of tackling mesoscopic phenomena. In this, we concentrate only on mesh-free particle numerical techniques. Two broad approaches are used, namely bottom-up and top-down. While adopting the bottom-up approach, we employ the DPD method as a foundation for devising a novel LC simulation technique. In this, we associate a traceless symmetric order tensor, Q, with each DPD particle. We then further extend the DPD forces to directly incorporate the Q tensor description so as to recover a more complete representation of LC behaviour. The devised model is verified against a number of qualitative examples and applied to the simulation of colloidal particles immersed in a nematic LC. We also discuss advantages of the developed model for simulation of dynamic mesoscopic LC phenomena. In the top-down approach, we utilise recently emergent numerical mesh-free methods. Specifically, we use the SPH method and its variants. The developed method includes hydrodynamics, variable order parameter and external electric and magnetic fields. The developed technique is validated against a number of analytical and numerical solutions. Subsequently, we apply our top-down methods to the simulation of the complex 3D post-aligned bistable nematic (PABN) device. This includes a smooth geometry representation in order to fully exploit the developed mesh-free numerical techniques. We study both the static and dynamic behaviours of the PABN device for a number of distinct post shapes.

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Maier, Sebastian. "Biproportional apportionment methods constraints, algorithms, and simulation." München Verl. Dr. Hut, 2008. http://d-nb.info/992645034/04.

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Yu, Huan. "New Statistical Methods for Simulation Output Analysis." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4931.

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In this thesis, there are generally three contributions to the Ranking and Selection problem in discrete-event simulation area. Ranking and selection is an important problem when people want to select single or multiple best designs from alternative pool. There are two different types in discrete-event simulation: terminating simulation and steady-state simulation. For steady-state simulation, there is an initial trend before the data output enters into the steady-state, if we cannot start the simulation from steady state. We need to remove the initial trend before we use the data to estimate the steady-state mean. Our first contribution regards the application to eliminate the initial trend/initialization bias. In this thesis, we present a novel solution to remove the initial trend motivated by offline change detection method. The method is designed to monitor the cumulative absolute bias from the estimated steady-state mean. Experiments are conducted to compare our procedure with other existing methods. Our method is shown to be at least no worse than those methods and in some cases much better. After removing the initialization bias, we can apply a ranking and selection procedure for the data outputs from steady-state simulation. There are two main approaches to ranking and selection problem. One is subset selection and the other one is indifference zone selection. Also by employing directed graph, some single-best ranking and selection methods can be extended to solve multi-best selection problem. Our method is designed to solve multi-best ranking and selection. And in Chapter 3, one procedure for ranking and selection in terminating simulation is extended based full sequential idea. It means we compare the sample means among all systems in contention at each stage. Also, we add a technique to do pre-selection of the superior systems at the same time of eliminating inferior systems. This can accelerate the speed of obtaining the number of best systems we want. Experiments are conducted to demonstrate the pre-selection technique can save observation significantly compared with the procedure without it. Also compared with existing methods, our procedure can save significant number of observations. We also explore the effect of common random number. By using it in the simulation process, more observations can be saved. The third contribution of this thesis is to extend the procedure in Chapter 3 for steady-state simulation. Asymptotic variance is employed in this case. We justify our procedure in asymptotic point of view. And by doing extensive experiments, we demonstrate that our procedure can work in most cases when sample size is finite

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Fiore, Andrew M. (Andrew Michael). "Fast simulation methods for soft matter hydrodynamics." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122848.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references.
This thesis describes the systematic development of methods to perform large scale dynamic simulations of hydrodynamically interacting colloidal particles undergoing Brownian motion. Approximations to the hydrodynamic interactions between particles are built from the periodic fundamental solution for flow at zero Reynolds number and are methodically improved by introducing the multipole expansion and constraints on particle dynamics. Ewald sum splitting, which decomposes the sum of slowly decaying interactions into two rapidly decaying sums evaluated indepently in real space and Fourier space, is used to accelerate the calculation and serves as the basis for a new technique to sample the Brownian displacements that is orders of magnitude faster than prior approaches. The simulation method is first developed using the ubiquitous Rotne-Prager approximation for the hydrodynamic interactions.
Extension of the Rotne-Prager approximation is achieved via the multipole expansion, which introduces the notion of induced force moments whose value is determined from the solution of constraint problems (for example, rigid particles cannot deform in flow), and methods for handling these multipole-based constraints are illustrated. The multipole expansion converges slowly when particles are nearly touching, a problem which is functionally solved for dynamic simulations by including divergent lubrication interactions, in the style of Stokesian Dynamics. The lubrication interactions effectively introduce an additional constraint on the relative motion of closely separated particle pairs. This constraint is combined with the multipole constraints by developing a general method to handle nearly arbitrary dynamic constraints using saddle point matrices. Finally, the methods developed herein are applied to study sedimentation in suspensions of attractive colloidal particles.
The simulation results are used to develop a predictive model for the hindered/promoted settling function that describes the mean sedimentation rate as a function of particle concentration and attraction strength.
"The research in this thesis was supported by the MIT Energy Initiative Shell Seed Fund and NSF Career Award CBET-1 554398"
by Andrew M. Fiore.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Chemical Engineering

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Bandarian, Ellen. "Linear transformation methods for multivariate geostatistical simulation." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2008. https://ro.ecu.edu.au/theses/191.

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Multivariate geostatistical techniques take into account the statistical and spatial relationships between attributes but can be inferentially and computationally expensive. One way to circumvent these issues is to transform the spatially correlated attributes into a set of decorrelated factors for which the off diagonal elements of the spatial covariance matrix are zero. This requires the derivation of a transformation matrix that exactly or approximately diagonalises the spatial covariance matrix for all separation distances. The resultant factors can then analysed using the more straightforward univariate techniques. This thesis is concerned with the investigation of linear decorrclation methods whereby the resulting factors are linear combinations of the original attributes.

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Obradovic, Borna Josip. "Multi-dimensional Monte Carlo simulation of ion implantation into complex structures /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Wu, Yi 1960. "A MONTE CARLO SIMULATION OF NEAR INFRARED RADIATION TRANSFER IN CLOUDS." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/276367.

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Woo, Sungkwon. "Monte Carlo simulation of labor performance during overtime and its impact on project duration /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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SESHADRI, DILIP. "AN INVESTIGATION OF THE SIMULATABILITY OF ITERATIVE METHODS FOR ANALYZING ANALOG CIRCUIT BEHAVIOR." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1175881373.

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Sachin, Nagane G. "Simulation study of selectivity bank in automotive industry." Lexington, Ky. : [University of Kentucky Libraries], 2002. http://lib.uky.edu/ETD/ukymseg2002t00041/completethesis.pdf.

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Thesis (M.S.)--University of Kentucky, 2002.
Title from document title page. Document formatted into pages; contains viii, 66 p. : ill. Includes abstract. Includes bibliographical references (p. 64-65).

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Nasr, Azadani Leila. "Advanced Spectral Methods for Turbulent Flows." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/47676.

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Although spectral methods have been in use for decades, there is still room for innovation, refinement and improvement of the methods in terms of efficiency and accuracy, for generalized homogeneous turbulent flows, and especially for specialized applications like the computation of atmospheric flows and numerical weather prediction. In this thesis, two such innovations are presented. First, inspired by the adaptive mesh refinement (AMR) technique, which was developed for the computation of fluid flows in physical space, an algorithm is presented for accelerating direct numerical simulation (DNS) of isotropic homogeneous turbulence in spectral space. In the adaptive spectral resolution (ASR) technique developed here the spectral resolution in spectral space is dynamically refined based on refinement criteria suited to the special features of isotropic homogeneous turbulence in two, and three dimensions. Applying ASR to computations of two- and three-dimensional turbulence allows significant savings in the computational time with little to no compromise in the accuracy of the solutions. In the second part of this thesis the effect of explicit filtering on large eddy simulation (LES) of atmospheric flows in spectral space is studied. Apply an explicit filter in addition to the implicit filter due to the computational grid and discretization schemes in LES of turbulent flows allows for better control of the numerical error and improvement in the accuracy of the results. Explicit filtering has been extensively applied in LES of turbulent flows in physical space while few studies have been done on explicitly filtered LES of turbulent flows in spectral space because of perceived limitations of the approach, which are shown here to be incorrect. Here, explicit filtering in LES of the turbulent barotropic vorticity equation (BVE) as a first model of the Earth's atmosphere in spectral space is studied. It is shown that explicit filtering increases the accuracy of the results over implicit filtering, particularly where the location of coherent structures is concerned.
Ph. D.

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Srivrunyoo, Inthira. "A contextualized Web-based learning environment for DEVS models." unrestricted, 2007. http://etd.gsu.edu/theses/available/etd-11222007-132933/.

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Thesis (M.S.)--Georgia State University, 2007.
Title from file title page. Xiaolin Hu, committee chair; Rajshekhar Sunderraman, Ying Zhu, committee members. Electronic text (71 p. : ill. (some col.)) : digital, PDF file. Description based on contents viewed Jan. 29, 2008. Includes bibliographical references (p. 70-71).

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Fleissner, Florian. "Parallel object oriented simulation with Lagrangian particle methods." Aachen Shaker, 2009. http://d-nb.info/1000976742/04.

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Fischer, Bernhard Karl. "High throughput simulation methods for protein ligand docking." Karlsruhe : Forschungszentrum Karlsruhe, 2007. http://d-nb.info/985070374/34.

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Vines, Neuwirth Mauricio Alfredo. "Vortex Methods for Fluid Simulation in Computer Graphics." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/23647.

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Fluid simulations for computer graphics applications have attracted the attention of many researchers and practitioners due to the enhanced realism that natural phenomena simulation adds to graphical applications. Vortex methods are receiving increasing attention from the computer graphics community for simple and direct modeling of complex flow phenomena such as turbulence. However, vortex methods have not been developed yet to the level of other techniques for fluid simulation in computer graphics. In this work we present a novel simulation framework to model inviscid flows using Lagrangian vortex particle methods. We introduce novel stable methods to solve the vorticity flow equations that produce highly detailed visual fluid simulations. We incorporate the full interplay of solids and fluids in our framework. The coupling between free-form solids, represented by arbitrary surface meshes and fluids simulated with vortex methods, leads to visually rich simulations. Previous vortex simulators only focus on modeling the solid as a boundary for the flow. We model solid boundaries using an extended potential flow at the solid surface coupled with a boundary layer simulation. This allows the accurate simulation of two processes of visual interest. The first is the introduction of surface vorticity in the main flow as turbulence (vortex shedding). The second is the motion of the solid induced by fluid forces, which is calculated from the dynamics of vorticity in the flow and the rate of vorticity creation at solid surfaces. We demonstrate high quality results of our methods simulating flows around solid objects and solid object propulsion due to flows. This work ameliorates one of the important omissions in the development of vortex methods for computer graphics, which is the simulation of two-way coupling of solids and fluids.

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Mandt, Klaus. "Investigation of discretisation methods for real-time simulation." Thesis, Staffordshire University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389742.

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Liu, Weiyun. "INVESTIGATION OF FILTERING METHODS FOR LARGE-EDDY SIMULATION." UKnowledge, 2014. http://uknowledge.uky.edu/me_etds/46.

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This thesis focuses on the phenomenon of aliasing and its mitigation with two explicit filters, i.e., Shuman and Padé filters. The Shuman filter is applied to velocity components of the Navier--Stokes equations. A derivation of this filter is presented as an approximation of a 1-D “pure math” mollifier and extend this to 2D and 3D. Analysis of the truncation error and wavenumber response is conducted with a range of grid spacings, Reynolds numbers and the filter parameter, β. Plots of the relationship between optimal filter parameter β and grid spacing, L2-norm error and Reynolds number to suggest ways to predict β are also presented. In order to guarantee that the optimal β is obtained under various stationary flow conditions, the power spectral density analysis of velocity components to unequivocally identify steady, periodic and quasi-periodic behaviours in a range of Reynolds numbers between 100 and 2000 are constructed. Parameters in Pade filters need not be changed. The two filters are applied to velocities in this paper on perturbed sine waves and a lid-driven cavity. Comparison is based on execution time, error and experimental results.

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Warn, Alan James. "Evaluation of alternative discrete-event simulation experimental methods." Thesis, Bournemouth University, 2003. http://eprints.bournemouth.ac.uk/344/.

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The aim of the research was to assist non-experts produce meaningful, non-terminating discrete event simulations studies. The exemplar used was manufacturing applications, in particular sequential production lines. The thesis addressed the selection of methods for introducing randomness, setting the length of individual simulation runs, and determining the conditions for starting measurements". Received wisdom" in these aspects of simulation experimentation was not accepted.The research made use of a Markov Chain queuing model and statistica analysis of exhaustive computer-based experimentation using test models. A specific production-line model drawn from the motor industry was used as a point of reference. A distinctive,quality control like, process of facilitating the controlled introduction of "representative randomness" from a pseudo random-number generator was developed, rather than relying on a generator's a priori performance in standard statistical tests of randomness. This approach proved to be effective and practical. Other results included: The distortion in measurements due to the initial conditions of a simulation run of a queue was only corrected by a lengthy run and not by discarding early results. Simulation experiments of the same queue, demonstrated that a single long run gave greater accuracy than having multiple runs. The choice of random number generator is less important than the choice of seed. Notably, RANDU (a "discredited"MLCG) with careful seed selection was able to outperform in tests both real random numbers, and other MLCGs if their seed were chosen randomly,99.8% of the time. Similar results were obtained for Mersenne Twister and Descriptive Sampling.Descriptive Samnpling was found to provide the best samples and was less susceptible to errorsin the forecast of the required sample size. A method of determining the run length of the simulation that would ensure the run was representative of the true condifions was proposed. An interactive computer program was created to assist in the calculation of the run length of a simulation and determine seeds so as to obtain" highly representative" samples, demonstrating the facility required in simulation software to support theses elected methods.

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Domingo, Lizza Tandoc. "Formal methods in specifying discrete event simulation models." Thesis, London School of Economics and Political Science (University of London), 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263339.

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Takeda, Kenji. "Parallel discrete vortex methods for viscous flow simulation." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287340.

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Dissertations / Theses on the topic 'Simulation methods'

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